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The purpose of this paper is to explore what individuals perceive as social identity threats, the sources of the threat, individuals’ responses, and the consequences of the threat.

Narratives from 224 individuals were collected. A sample of 84 narratives were analyzed in depth using a qualitative content analysis approach.

Initial support for identity threat response theory was found. Three new distinct threat responses – constructive action, ignore, and seek assistance – were uncovered. Additionally, harm/loss appraisals were found to be perceived and reacted to similarly to Petriglieri-defined identity threats.

This study contributes to identity scholarship by shedding further light on the “theoretical black box” associated with identity threat. Such insight is necessary in further enhancing our understanding of the impact that identity threat has at the individual and organizational level.

The purpose of this paper is to reflexively reconsider the effects of the author’s pre-understandings, both academic and non-academic, on the subject matter and the research setting. The unforeseen implications of this disjuncture on our research practice and the expected deliverables are discussed.

The paper engages in a critical, self-reflexive dialogue of a journey through a stimulating yet, uncomfortable piece of feminist, organizational ethnographic research drawing on the insights from the author's research diary.

The account presented in this paper describes the problematic nature of undertaking a collaborative, reciprocal research project in the distinctive and foreign cultural landscape of the military. The author shows the importance of delving into matters of positionality and preparedness for what might emerge, as a form of closure.

The paper provides insights into the importance of sponsors to access “the field” and our obligation as researchers to produce written deliverables.

This paper contributes to the emerging literature on the significance of reflexivity in feminist inspired organizational ethnographies in highly gendered settings such as the military.

Addresses the standardization of the measurements and the labels for concepts commonly used in the study of work organizations. As a reference handbook and research tool, seeks to improve measurement in the study of work organizations and to facilitate the teaching of introductory courses in this subject. Focuses solely on work organizations, that is, social systems in which members work for money. Defines measurement and distinguishes four levels: nominal, ordinal, interval and ratio. Selects specific measures on the basis of quality, diversity, simplicity and availability and evaluates each measure for its validity and reliability. Employs a set of 38 concepts ‐ ranging from “absenteeism” to “turnover” as the handbook’s frame of reference. Concludes by reviewing organizational measurement over the past 30 years and recommending future measurement reseach.

The purpose of this paper is to investigate how biological scientists form research ethics for data sharing, and what the major factors affecting biological scientists’ formation of research ethics for data sharing are.

A research model for data sharing was developed based on the consequential theorists’ perspective of ethics. An online survey of 577 participants was administered, and the proposed research model was validated with a structural equation modeling technique.

The results show that egoism factors (perceived reputation, perceived risk, perceived effort), utilitarianism factors (perceived community benefit and perceived reciprocity) and norm of practice factors (perceived pressure by funding agency, perceived pressure by journal and norm of data sharing) all contribute to the formation of research ethics for data sharing.

This research employed the consequentialist perspective of ethics for its research model development, and the proposed research model nicely explained how egoism, utilitarianism and norm of practice factors influence biological scientists’ research ethics for data sharing, which eventually leads to their data sharing intentions.

This research provides important practical implications for examining scientists’ data sharing behaviors from the perspective of research ethics. This research suggests that scientists’ data sharing behaviors can be better facilitated by emphasizing their egoism, utilitarianism and normative factors involved in research ethics for data sharing.

The ethical perspectives in data sharing research has been under-studied; this research sheds light on biological scientists’ formation of research ethics for data sharing, which can be applied in promoting scientists’ data sharing behaviors across different disciplines.

This paper aims to examine how consumers respond to social media influencers that are created through artificial intelligence (AI) and compares effects to traditional (human) influencers.

Across two empirical studies, the authors examine the efficacy of AI social media influencers. With Study 1, the authors establish baseline effects for AI influencers and investigate how social-psychological distance impacts consumer perceptions. The authors also investigate the role of an influencer’s agency – being autonomous or externally managed – to test the boundaries of the results and determine the interactive effects between influencer type and influencer agency. Study 2 acts as an extension and validation of Study 1, whereby the authors provide generalisability and overlay the role of need for uniqueness as a moderated mediator.

The authors show that there are similarities and differences in the ways in which consumers view AI and human influencers. Importantly, the authors find no difference in terms of intention to follow or personalisation. This suggests that consumers are equally open to follow an AI or human influencer, and they perceive the level of personalisation provided by either influencer type as similar. Furthermore, while an AI influencer is generally perceived as having lower source trust, they are more likely to evoke word-of-mouth intentions. In understanding these effects, the authors show that social distance mediates the relationship between influencer type and the outcomes the authors investigate. Results also show that AI influencers can have a greater effect on consumers who have a high need for uniqueness. Finally, the authors find that a lack of influencer agency has a detrimental effect.

The studies investigate consumers’ general response to AI influencers within the context of Instagram, however, future research might examine consumers’ response to posts promoting specific products across a variety of category contexts and within different social media platforms.

The authors find that in some ways, an AI influencer can be as effective as a human influencer. Indeed, the authors suggest that there may be a spill-over effect from consumer experiences with other AI recommendation systems, meaning that consumers are open to AI influencer recommendations. However, the authors find consistent evidence that AI influencers are trusted less than traditional influencers, hence the authors caution brands from rushing to replace human influencers with their AI counterparts.

This paper offers novel insight into the increasingly prominent phenomenon of the AI influencer. Specifically, it takes initial steps towards developing understanding as to how consumers respond to AI influencers and contrast these effects with human influencers.

This paper provides a review of research on financial derivatives, with an emphasis on and comprehensive coverage of research published in 15 top accounting journals from 1996 to 2017. We begin with some brief institutional details about derivatives and then summarize studies explaining when and why firms use derivatives. We then discuss the evolution of the accounting rules related to derivatives (and associated disclosure requirements) and studies that examine changes in these requirements over the years. Next, we review the literature that examines the consequences of firms’ derivative use to various capital market participants (i.e., managers, analysts, investors, boards of directors, etc.), with an emphasis on the role that the accounting and disclosure rules play in such consequences. Finally, we discuss the importance of industry affiliation on firms’ derivative use and the role that industry affiliation plays in derivatives research. Overall, our review suggests that, perhaps due to their inherent complexity and data limitations, derivatives are relatively understudied in accounting, and we highlight several areas where future research is needed.

This research aims to examine the moderating role of consumers’ persuasion knowledge (PK) on the persuasive effect of combined advertising and publicity within the same medium. The synergistic effect experienced when two messages are thus combined is reversed for readers with high PK who are first exposed to publicity then to advertising. Believability of the message is found to be a mediator within this context.

Based on a review of the appropriate literatures on PK and integrated marketing communication (IMC), this paper tests the hypotheses using two experimental studies.

The results of two experiments show that publicity-then-advertising yields poorer persuasion than advertising-then-publicity, especially under a high PK condition. The reduced synergistic effect of combinations of advertising and publicity is found especially when consumers activate temporary PK and/or when they have chronically high PK. A mediator for a decrease in the synergistic effect of combinations of advertising and publicity, believability, is examined.

This study contains significant managerial implications for marketing communicators about how to most effectively combine and coordinate publicity and advertising in the implementation of an IMC strategy.

Other than making a contribution to the IMCs’ literature, this research extends understanding of the power of PK within an IMC framework. The research contributes yet another extension to the original PK model of Friestad and Wright (1994) by suggesting an underlying theoretical mechanism to explain how PK works in the IMC domain.

The purpose of this study is to employ a user-centered approach to identify subgroups of people with similar profiles based on their perceptions of multiple dimensions of digital products' coolness and to test the differences across subgroups in the intention to use these products.

In Study 1, 1,161 adults rated a virtual digital product on four dimensions of coolness. In Study 2, 660 college students made similar ratings and also reported their intention to use a real digital product. Participants' ratings were analyzed using a user-centered approach, namely latent profile analysis.

Study 1 identified groups of participants who had similar profiles of product ratings on the four dimensions of coolness: niche cool, mass cool, uncertain cool and uncool. Study 2 replicated the findings of Study 1 and in addition showed that these groups varied in their intention to use the product and in whether a specific dimension increased or decreased this intention.

The cross-sectional data preclude inferences about causality, calling for experimental or longitudinal research. Additionally, future research should explore whether the results generalize to other product categories and other age groups.

Managers should design digital products, segment the market and develop flexible strategies based on combined responses to dimensions of coolness perception.

The present research employed a user-centered approach to identify groups of people who share similar patterns of coolness perception. This study provides new insight that was not available in variable-centered research.

The purpose of this paper is to examine the relationship between product innovation and network and their export performance, particularly in trade fair context. Moreover, this paper conducts a comparative study among services/industrial small and medium-sized enterprises (SMEs) and considers the home-country context. Innovation and internationalization are stagnant themes in the recent literature on trade fairs, so they require to be renewed.

The empirical study includes a survey with 341 SMEs’ respondents separated into both industrial/producer and service/other. A conceptual model was developed and examined from three different perspectives: Model A encompasses all surveyed SMEs, Model B includes only industrial/producer SMEs and Model C comprises service/other SMEs. Data analysis happened in two steps. The first step included the structural equation model (SEM) and the assessment of hypotheses (from three different perspectives). Thus, it was possible to make a comparative analysis between the models. In the second step, the ordered logit model (OLM) is used to study relationships between control variables and the criteria variable export performance.

The SEM’s results confirm a conceptual model about a dynamic trajectory that SMEs, mainly industrial/producer, can take advantage of: innovate to networking and networking to export. The results allowed to verify when comparing services/industrial SMEs that the tangibility which characterizes the innovation of industrial SMEs' products contributed significantly to the performance of business networks and exports. The study also reveals, through the OLM, two catalysts for the success of the SME’s export performance: export experience and continued participation in trade fairs. The OLM results also reveal that the size of the companies is not relevant, so trade fairs are marketing tools accessible to any company, regardless of their size. Finally, the study considered home-country context of the surveyed SMEs, which allowed additional interpretations to be drawn.

The study does not reflect the individual's personality in his network capacity and the export performance was measured based on the level of satisfaction and not on real sales results. However, the study provides relevant practical implications and can support future studies.

The study offers important implications for SME. The results reveal that presenting product innovations at trade fairs is a useful tool for SMEs to create networks, which facilitates their export performance, especially for industrial SMEs residing in small economies such as Portugal. This study is also relevant for business associations of industrial SMEs and/or public or semi-public SME promotion agencies.

This paper contributes to the literature on trade fairs, suggesting a new innovation, networking, export (INE) framework to reflect on the participation in international trade fairs. So, this research especially combines product INE performance in a particular context – international trade fairs for SME. It also considers the home-country context of the SMEs, which adds depth to the study. Finally, the comparative study also provides insightful implications for industrial SMEs on how to improve the export performance from trade fairs by leveraging innovation and networking.

The use of performance management (PM) tools is a defining characteristic of public sector management. However, while research on PM is extensive, comparatively little focuses on how the practice shapes the attitudes and behavior of employees. The purpose of this paper is to address this question and develop a conditional process model that links PM to turnover intention. The model predicts that the PM-turnover relationship is mediated by job satisfaction and moderated by job-goal alignment.

The authors use a unique data set drawn from the Russian public sector to test the model empirically. Conditional process modeling is used to test for moderated mediation. The effects are further explored using bootstrapped bias-corrected confidence intervals.

The analysis suggests that PM has an indirect effect on turnover intention via job satisfaction in the average case. However, the indirect effect is stronger for employees who perceive that their work contributes directly to organizational goals. In contrast, for employees whose work lacks organizational goal alignment, PM has no significant effect.

Despite being an instrument to manage organizational (including human) resources, few studies have linked PM to employee-level outcomes. By doing so, this study implies promising research paths that can help generate a more complete picture of how PM shapes organizational processes in the public sector.