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Utilizing a self-regulatory perspective, the authors examine how narcissism influences perceived negative inequity and the downstream effects on self-enhancement motivation and organizational citizenship behaviors (OCBs) over time.

A total of 689 useable three-wave panel data were obtained via Amazon Mechanical Turk during a three-month period. A latent growth curve modeling approach using EQS 6.4 for Windows was employed to test the hypothesized model.

Results illustrate that individuals with higher levels of narcissism perceive higher levels of perceived negative inequity and then form higher levels of self-enhancement motivation, which prompt more OCB directed toward the organization (OCBO) than OCB directed toward individuals (OCBI). When perceived negative inequity increases over time, narcissists experience a faster increase in self-enhancement motivation, which also leads to a faster increase in OCBO compared to the increase in OCBI.

Theoretically, this study provides theoretical and empirical insights into understanding the process through which narcissists' OCBs are motivated. Practically, this study offers several practical recommendations that help managers manage OCBs effectively in the organization.

This conceptual, multi-voiced paper aims to collectively explore and theorize family entrepreneuring, which is a research stream dedicated to investigating the emergence and becoming of entrepreneurial phenomena in business families and family firms.

Because of the novelty of this research stream, the authors asked 20 scholars in entrepreneurship and family business to reflect on topics, methods and issues that should be addressed to move this field forward.

Authors highlight key challenges and point to new research directions for understanding family entrepreneuring in relation to issues such as agency, processualism and context.

This study offers a compilation of multiple perspectives and leverage recent developments in the fields of entrepreneurship and family business to advance research on family entrepreneuring.

A focus on how visual cultures in domestic spaces influence older migrants' identification with the homeland has been noted in previous research, ¹ yet migrant youth have not typically been the sole subjects of investigation in this regard. This chapter seeks to fill this gap by offering insight into the practices of young Indian women in domestic spaces and how these practices influence their sense of belonging to India. This chapter highlights the practices of young Indian women living in Brisbane, Australia, through an exploration into how the young women recreate their histories and cultural attachments in domestic spaces. The research presented in this chapter illustrates the processes of emotional attachment for young migrants and how these processes demonstrate new ways of practising diaspora, including the use of the internet to learn about their cultural histories. With the use of PhotoVoice, where photographs were retrieved from mobile phones and the internet, the participants discussed their everyday lives relating to their emotional attachments to material objects in domestic spaces and the connection to their identities. This chapter's main argument is to highlight the need for researchers to avoid the tendency to place young migrants into the same diasporic categories as their parents and to recognise the diverse ways in which young migrants actively shape their own cultural attachments.

The information used in the case study was obtained from secondary sources, such as internal documents, reports, news, and organization websites. Three of the four authors played a hands-on role in the case.

The COVID-19 pandemic exacerbated the global challenge of hiring and retaining health-care workers. To address its own challenges, Mayo Clinic decided to fundamentally transform its 30-year-old tuition assistance program: from a model centered on the premise that tuition assistance was an employee benefit for professional development purposes, to one that was more driven to meet the business needs of the employer by preparing internal talent for important roles throughout the institution. Herein, this case study first describes how the COVID-19 pandemic impacted health-care organizations like Mayo Clinic. Next, this study provides details on the original employee tuition assistance program, and then, focuses on the reasons for its need to be changed. Afterward, this study introduces the new tuition assistance programs. Finally, this study follows with examples of how both Mayo Clinic and its employees navigated through initial challenges, such as resistance to change and lack of engagement. In sum, this case study provides critical insight into designing workforce education programs that provide professional development for meeting the workforce needs of the organization.

This case can be used as teaching material in relevant undergraduate- and MBA-level courses, such as human resource management, human resource development and compensation and benefits. This case allows students to critically analyze workforce education programs (e.g. tuition assistance programs) and to plan how to strategically align those with the workforce needs of the organization.

In Structural Equation Modelling (SEM) cases, a number of steps to ensure that the measurement of the latent constructs, variables, and indicators have been appropriate, reliable, and meet the rules of quantitative research that must be passed by researchers. One of them is the criteria for determining the presence (or not) of a discriminant validity violation, which is still a fierce debate among researchers today. The last recommended method is the Heterotrait–Monotrait ratio of correlation (HTMT) which seeks to revise the previously existing discriminant validity criteria such as the Fornell–Larcker and Cross-loadings criteria. This chapter discusses the implementation of HTMT in the case of manufacturing small and medium enterprises (SMEs) in Indonesia with the aim of providing an illustration of how the HTMT is capable of detecting the violation of discriminant validity and the solutions that can be carried out following the recommendations given by the originators.

First-generation college students in the United States are a unique demographic that is often characterized by the institutions that serve them with a risk-laden and deficit-based model. However, our analysis of the transcripts of open-ended, semi-structured interviews with 22 “first-gen” respondents suggests they are actively deft, agentic, self-determining parties to processes of identity construction that are both externally imposed and potentially stigmatizing, as well as exemplars of survivance and determination. We deploy a grounded theory approach to an open-coding process, modeled after the extended case method, while viewing our data through a novel synthesis of the dual theoretical lenses of structural and radical/structural symbolic interactionism and intersectional/standpoint feminist traditions, in order to reveal the complex, unfolding, active strategies students used to make sense of their obstacles, successes, co-created identities, and distinctive institutional encounters. We find that contrary to the dictates of prevailing paradigms, identity-building among first-gens is an incremental and bidirectional process through which students actively perceive and engage existing power structures to persist and even thrive amid incredibly trying, challenging, distressing, and even traumatic circumstances. Our findings suggest that successful institutional interventional strategies designed to serve this functionally unique student population (and particularly those tailored to the COVID-moment) would do well to listen deeply to their voices, consider the secondary consequences of “protectionary” policies as potentially more harmful than helpful, and fundamentally, to reexamine the presumption that such students present just institutional risk and vulnerability, but also present a valuable addition to university environments, due to the unique perspective and broader scale of vision their experiences afford them.

Over the last three decades, construction projects have increasingly been delivered through alternative delivery methods. As a result, many owners have a range of delivery methods to choose from and aim to use the right one for each of their projects. Researchers have developed several tools and decision-support processes to facilitate this selection procedure. The purpose of this study is to review and discuss differences and common themes across selection tools developed by academic researchers and project owners.

The study reviews prominent selection processes and tools used for infrastructure projects by conducting an in-depth literature review and using the content analysis method to elicit findings on the methodologies and criteria presented in the literature.

This study presents three principal findings. First, findings show three common themes emerge within the selection criteria—characteristics, goals and risks. Second, while academic studies most commonly suggest employing multi-attribute analysis, this study reveals that, in practice, selection tools most frequently employ a staged or gated evaluation based on the type of criteria and their importance to the decision. Finally, this review further highlights the importance of institutional context in decision-making.

This work contributes to the body of knowledge by providing guidance to practitioners and opening new directions for researchers around the way selection criteria are categorized in the relevant literature and the institutional context considerations when structuring or evaluating a selection process or tool.

This study aims to contribute to the ongoing discussion of how consumers approach shopping directly via social media by explicating decisions related to trust on social media and how various types of electronic word of mouth (eWOM; ratings and reviews, recommendations and referrals and social media communities) contribute to these decisions.

A total of 198 respondents with experience shopping directly via social media were instructed to select the platform on which they had the most shopping experience (Facebook, Instagram, TikTok, Pinterest, etc.) to answer relevant survey questions. Structural equation modeling (SEM) was used for analyzing the results.

Findings reveal that eWOM provided by strong ties (recommendations and referrals; social media communities) is superior to weak ties (ratings and reviews). Surprisingly, ratings and reviews do not significantly relate to trust in the retailer, suggesting that this information may be necessary but not sufficient for trusting retailers on social media.

This research distinguishes trust decisions related to shopping on social media and clarifies how each type of eWOM uniquely influences trust in the retailer by using tie strength theory.

The aviation business has had a difficult time due to the COVID-19 pandemic in the past year. As a result, people worldwide are limited to travel which causes a decrease in turnover from a business in the transportation sector, particularly aviation. This condition, indeed, also affects the company’s stock price. This study examines the volatility of stock prices as an initial indication of what has happened and looks at future projections. The method used in this study is the autoregressive integrated moving average (ARIMA) in achieving research objectives. The findings found that the autoregressive combined moving average on AR1 and MA1 can show conditions based on past data and predict the projection of its volatility. The aviation business is still considered to survive with daily stock prices that are relatively positive and stable for the next upcoming period.