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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.

Interorganizational collaboration has been a major source of exploratory innovation. Despite much research, the authors’ understanding about how partner cultural distance is harnessed for exploratory innovation is limited. The authors’ conceptual framework aims to address this gap by explaining the social-psychological processes between perceived partner cultural distance and exploratory innovation.

Drawing on research in organizational learning and culture mixing, the authors propose a multilevel model with two parallel processes – cultural brokering and cultural defense. If managers are engaged in the former and are protected from the latter, then the partnership will produce more exploratory innovation. Cultural brokering is encouraged by prompting a learning mindset, while cultural defense is preempted by dampening social categorization across organizational boundaries.

Cultural brokering can be encouraged by building operational-level managers' (OLMs') collaborative strength through developing a learning orientation, allowing them delivery for exploration, cultivating mutual trust with partners. Cultural defense can be preempted by protecting OLMs from intergroup anxieties through providing organizational support to the OLMs, bridging social categorization faultlines and setting shared collaborative goals. Whether an alliance can unleash its potential depends on not just how cultural brokering is enabled but also how cultural defense is curtailed.

This paper takes a microfoundational approach and considers micro-level processes in a partnership. Furthermore, the model takes the operational managers' perspective and defines culture at the organizational level. All these differences allow us to provide a nuanced picture of how diverse partnerships can be harnessed for exploratory innovation through a few easily-implementable measures.

The purpose of this study is to present and explain a new customer segmentation approach inspired by failure mode and effect analysis (FMEA) which can help classify customers into more accurate segments.

The present study offers a look at the three most commonly used approaches to assessing customer loyalty:net promoter score, loyalty ladder and loyalty matrix. A survey on the quality of restaurant services compares the results of categorizing customers according to these three most frequently used approaches.

A new way of categorizing customers through loyalty priority number (LPN) is proposed. LPN was designed as a major segmentation criterion consisting of customer loyalty rate, frequency of purchase of products or services and value of purchases. Using the proposed approach allows to categorize customers into four more comprehensive groups: random, bronze, silver and gold – according to their loyalty and value to the organization.

Survey will bring a more accurate way of categorizing customers even in those sectors where transaction data are not available. More accurate customer categorization will enable organizations to use targeting tools more effectively and improve product positioning.

The most commonly used categorization approaches such as net promoter score, loyalty ladder or loyalty matrix offer relatively general information about customer groups. The present study combines the benefits of these approaches with the principles of FMEA. The case study not only made it possible to offer a view of the real application of the proposed approach but also made it possible to make a uniform comparison of the accuracy of customer categorization.

The purpose of this paper is to extend current discussion on the drivers of innovative work behavior (IWB) by exploring how individual perceived diversities (visible dissimilarity and cognitive group diversity) and climates (team/clan and innovative/entrepreneurial) impact IWB.

Data had been collected from a cross-national study of working professionals (n = 584) from five different cultural contexts.

Findings of this study indicated that cognitive group diversity mediated the negative relationship between visible dissimilarity and IWB. Further, both innovative/entrepreneurial and team/clan climates moderated the relationship between visible dissimilarity and cognitive group diversity. Such a moderation effect reduced the negative effect that visible dissimilarity had on IWB.

A cross-sectional single-source data set.

From a managerial perspective, climates (team/clan and innovative/entrepreneurial) are central for IWB in the diverse (visible and cognitive) working environment. Thus, organizations should pay attention to create a climate (team/clan or/and innovative/entrepreneurial) that reduces the negative impact of perceived diversity in the working environment while supporting IWB.

This study is the first of its kind that is based on social categorization theory, empirically examining how different types of diversity (visible dissimilarity and cognitive group diversity) simultaneously reduce individuals’ IWB. Furthermore, this paper provides insights that climates (team/clan and innovative/entrepreneurial) are crucial for IWB in the diverse working environment.

Develop a comprehensive framework for assessing the knowledge organization systems (KOSs), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender nonbinary perspective.

This study employs heuristic and inspection methods to assess Wikipedia’s KOS, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia’s taxonomy for advantages and enhancements.

This study evaluates Wikipedia’s taxonomy and Wikidata’s ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia’s categorization challenges.

The assessment of Wikipedia categories (taxonomy) based on KOS standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall KOS to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.

This paper aims to identify and analyze the agtech classification and categorization systems in the Brazilian context.

The systematic literature review (SLR) was carried out according to the protocol of Kitchenham and Charters (2007). The classification systems found in literature were evaluated using the thinking aloud protocol, as proposed by Ericsson and Simon (1993). The responses obtained were evaluated through lexicographic analysis, described by Bécue-Bertaut (2019) and content analysis, described by Bardin (2011).

SLR identified four agtech classification systems. The model proposed by Dias, Jardim, and Sakuda (2019) was the one with the highest adherence to classify Brazilian agtechs. From the analysis of the systems found in literature, the authors proposed a new categorization model of agricultural startups (agtechs).

The study has limitations in relation to the theoretical and empirical validation of the model proposed by the authors. This limitation can be the subject of subsequent research.

The SLR study considers the evolution of the classification systems of a new agribusiness reality, the agtechs. In addition, there is a practical contribution in proposing a new classification system that attempts to address some of the limitations found in previous studies.

Agtechs are startups focused on developing solutions for agriculture and have shown a significant increase in recent years. However, there are few studies focused on this type of company. Even rarer are the studies that seek to classify and categorize them. The present work opens the horizon for future studies focused on this new reality.

Besides diversity's positive effects, groups of “we” against “them” may form in accordance with social categorization theory, showing diversity's negative consequences. The authors aim to reconcile these results and examine their boundary conditions.

The authors studied 584 working professionals from five contexts (transnational companies dealing with multicultural interactions) and analyzed data using moderated-mediation procedures.

A leader-promoting diversity climate plays a crucial role in moderating the negative relationship between perceived dissimilarity and group identification, which is mediated by value dissimilarity.

This study mainly contributes by treating dissimilarity as a multicomponent construct, emphasizing the crucial differences embodied in various conceptualizations of dissimilarity – namely visible and value dissimilarity. For dissimilarity to result in group identification, the results highlight leaders' crucial role, beyond that of organizations and individuals, in stimulating a diversity-embracing climate in work units.

This paper aims to analyze different brand clarity levels (BCLs) of local, global and glocal types of brands in fast-moving consumer goods from the consumer's perspective. The study also intends to identify whether the consumer's previous experience with such brands may impact BCL.

Twenty-eight global and local brands were used to test the hypotheses by conducting a survey with 400 consumers in the emerging economy of Iran. The authors applied a quantitative technique of brand classification, previously proposed in the literature. After categorizing the brands as local, global or glocal, one-way ANOVA, Tukey post hoc and t-test analyses were performed to identify whether the different types of brands had different BCLs.

The results showed that brand clarity was significantly higher for local bands than for global or glocal brands and that it was higher for glocal bands than for global brands. Furthermore, the consumer's prior experience with a brand had no impact on BCL for different types of brands.

For global brand managers, it is essential to know that local brands in Middle Eastern emerging markets may have more brand clarity than global brands. Therefore, if global brands intend to enter these markets, adopting a glocal positioning appears to be a helpful strategy. Besides, the results suggest that managers should analyze brand categorization from the consumer's perspective, i.e. from a subjective instead of an objective perspective.

This was the first study analyzing the BCL of local, global and glocal brands and identifying significant differences in their BCL.

This study aims to contribute knowledge about different professional identities represented among HR practitioners from Weber's “ideal types” framework.

The paper is based on semi-structured interviews with 34 Swedish HR practitioners working in large public and private organisations.

The findings reveal that HR practitioners' identity is perceived as indistinct, unclear and shattered, which leaves lots of room for interpreting HR identity. Based on a thematic content analysis, three different ideal-type identities are presented, each representing the characteristic traits of an HR identity type. These are the Defender who always supports the managers, the Disturber who questions the managers in favour of the employees and the Driver who focuses on the economic expansion of the organisation.

One of the potential constraints of this study is the authors’ reliance on interview data. This finding implies that future research can employ mixed methods or observational techniques to bridge the gap between narrated responsibilities and real-time actions. The data source, predominantly from larger organisations, presents another limitation. This raises a significant research implication: there is a need to study identity formation among HR practitioners in smaller organisations. The theoretical framework this study contributes can aid in comprehending HR practitioners' identities and their corresponding actions. Continued research might explore the significance of these ideal-type identities.

The model presented provides a new way of understanding HR practitioners' complex and shattered professional identity and the various stakeholders that direct different expectations towards them. This knowledge can be used both in HR education and in HR work as a basis for discussing the social work environment of HR practitioners and negotiating their work and identity.

The study contributes knowledge of the professional identities of HR managers, an under-researched area, especially when it comes to empirical research about the HR practitioners' own experiences of their everyday work and view of the HR profession.

The purpose of this paper is to examine the Company Dynamic Response Map (CDRM) risk management model that uses the dynamic capabilities concept. The study examines risks associated with strategic decision-making in construction projects and evaluates proposed methods that connect the dynamic capabilities of project-based organisations with risk management.

This preliminary study examines risks associated with strategic decision-making in construction projects and evaluates a proposed model that connects the dynamic capabilities of project-based organisations with risk management. Specifically, the CDRM model is evaluated, a risk management model developed by Arena et al. (2013) to better respond to risks and opportunities based on the concept of dynamic capabilities.

We argue that although the CDRM presents a promising development in that it uses dynamic capabilities prospectively in a risk management model to produce tangible results, there are, nonetheless, impediments to the CDRM being used by construction clients. The primary impediment relates to the issue of categorisation, the difficulty in assigning a specific identified risk to a particular category of dynamic capabilities.

A conceptual argument is made and not an empirical one.

The CDRM model was developed to be used in practice and this paper evaluates that model.

Contributes to both the dynamic capabilities literature as well as risk management literature. The paper ends with a discussion on the possible merits of the CDRM, and an evaluation on potential impediments to its use by construction clients.