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Sentiment analysis is a text analysis method that is developed for systematically detecting, identifying, or extracting the emotional intent of words to infer if the text expresses a positive or negative tone. Although this novel method has opened an exciting new avenue for organizational research – mainly due to the abundantly available text data in organizations and the well-developed sentiment analysis techniques, it has also posed a serious challenge to many organizational researchers. This chapter aims to introduce the sentiment analysis method in the text mining area to the organizational research community. In this chapter, the authors first briefly discuss the central role of sentiment in organizational research and then introduce the traditional and modern approaches to sentiment analysis. The authors further delineate research paradigms for text analysis research, advocating the iterative research paradigm (cf., inductive and deductive research paradigms) that is more suitable for text mining research, and also introduce the analytical procedures for sentiment analysis with three stages – discovery, measurement, and inference. More importantly, the authors highlight both the dictionary-based and machine learning (ML) approaches in the measurement stage, with special coverage on deep learning and word embedding techniques as the latest breakthroughs in sentiment and text analyses. Lastly, the authors provide two illustrative examples to demonstrate the applications of sentiment analysis in organizational research. It is the authors’ hope that this chapter – by providing these practical guidelines – will help facilitate more applications of this novel method in organizational research in the future.

Māori are the indigenous people of Aotearoa/New Zealand and have a history of experiencing discrimination, which occurs similarly for Pacific peoples. While both ethnic groups have lower pay and higher unemployment issues, their workplace experiences around perceived discrimination are seldom explored. Consequently, this study tests the influence of perceived discrimination on work outcomes (job satisfaction and work engagement) and well-being outcomes (job stress, job anxiety and job depression). Further, potential buffering effects of perceived organizational support (POS) and gender are conducted to test the symbolic interaction perspective (gender differences towards the potential buffering effects of POS).

The study uses data from Māori employees (n = 437) and Pacific employees (n = 148) for a total sample of 585 employees across a wide range of occupations and industries. Confirmatory factor analysis (CFA) of the data was used, and two-way and three-way moderations were conducted.

Overall, perceived discrimination was detrimentally related to all outcomes. Further, significant three-way interactions were found towards all well-being outcomes. This supported the symbolic interaction perspective, whereby high POS buffered perceived discrimination best for females, but low POS was key for males.

This research is important because the authors provide much-needed empirical evidence around ethnic discrimination in Aotearoa/New Zealand workplaces and extend the outcomes explored in the discrimination literature. Implications for organizations include establishing the rate of discrimination and developing human resource management (HRM) practices to address this.

Beyond the unique findings towards Māori and Pacific employees, the strong support for the symbolic interaction perspective provides useful insights into understanding that support benefits differ by gender.

The Great Resignation has led to a significant increase in the number of people quitting their jobs due to reasons such as stagnant wages, rising cost of living, job dissatisfaction and safety concerns. Therefore, the aim of this study is that it is important to help people develop better cognitive resources to face adversity.

The Great Resignation has led to a significant increase in the number of people quitting their jobs due to reasons such as stagnant wages, rising cost of living, job dissatisfaction and safety concerns. Therefore, it is important to help people develop better cognitive resources to face adversity. In this study, we administered a questionnaire to 250 employees to determine the variables that could help them build cognitive resources. These variables included the satisfaction of basic psychological needs (autonomy, competence and affiliation), psychological capital, motivation regulation (within the self-determination theory) and well-being (assessed by self-esteem, positive emotions, positive automatic thoughts and vitality). The results revealed that satisfaction of basic needs is associated with better psychological capital and more self-autonomous behavior, which leads to higher psychological well-being. These findings are discussed in the paper, emphasizing the importance of management and work context that satisfy the basic needs and help to build resources with psychological capital.

The results revealed that satisfaction of basic needs is associated with better psychological capital and more self-autonomous behavior, which leads to higher psychological well-being. These findings are discussed in the paper, emphasizing the importance of management and work context that satisfy the basic needs and help to build resources with psychological capital.

Highlight the importance of consequences of the Great Resignation and the need to internationalize this concept.

Today, appearance is an integral aspect of a politician's image and personality and therefore his or her brand (Budesheim & DePaola, 1994; Sanghvi & Hodges, 2015; Smith & French, 2009). While appearance is critical to political marketing, most of the research focusing on appearance in politics is experimental in nature (Lenz & Lawson, 2011; Olivola & Todorov, 2010; Todorov et al., 2005). This study investigates the importance of appearance for marketing politicians through a qualitative interpretivist framework that offers implications for theory. Moreover, this chapter offers a specific focus on the importance of appearance for female politicians.

Research shows women face greater scrutiny on their appearance (Carlin & Winfrey, 2009; Sanghvi, 2018). This chapter examines myriad of issues women in politics face based on their appearance. It also examines how women have successfully managed the issue of appearance at local, state and national levels. Thus, this study delivers a multifaceted view of the topic and facilitates the understanding of how appearance management enters into the political marketing process.

Drawing on the theory of planned behavior, this study aims to conduct an empirical investigation on whether and how psychological and motivational factors (i.e. attitudes, subjective norms and perceived behavioral control) affect actual purchase behavior. It does so through the lens of boycott intention and gender differences in the context of boycott campaigns.

Focusing on the South Korean boycott campaign against Japanese companies, this study employs a structural equation model using survey data from 571 South Korean consumers to test the hypotheses.

While the three psychological and motivational factors inhibit all three dimensions of actual purchase behavior (i.e. purchase frequency, number of items purchased and purchase amount) through increased boycott intention, perceived behavioral control of boycotts directly curb South Korean consumers from purchasing Japanese products. Additionally, the effect of boycott intention on overall actual purchase behavior is stronger for men than for women, suggesting a moderating role of gender.

To mitigate the devastating impact of unexpected consumers' boycott campaigns, this study advises that global brand management and attractive online channels are essential while considering the differential impact of gender.

By conceptualizing three dimensions of actual purchase behavior capturing behavioral changes before and after a boycott, this study highlights the linkages between psychological and motivational factors, intentions and behaviors. Additionally, this study attempts to clarify the previously conflicting evidence on gender's role in boycott campaigns while taking a culture-inclusive psychologies approach to gender.

Internal employees of firms are a reliable source of information for potential job seekers. However, few studies have focused on why internal employees actively recommend their firms. Based on the social exchange theory, this study aims to construct a chain mediation model using perceived challenge stress and employee experience as mediators to explore how leadership empowerment behavior affects employee referrals.

Bootstrap repeated sampling analysis was conducted on a sample of 307 employees collected through two-time points.

Leadership empowerment behavior is positively related to employee referrals; perceived challenge stress and employee experience mediate the effect of leadership empowerment behavior on employee referrals, respectively; in addition, perceived challenge stress and employee experience play a chain mediating role between leadership empowerment behavior and employee referrals.

The findings can help provide insight into the drivers of employee referrals and can effectively guide organization reputation management.

Research on artificial intelligence (AI) and its potential effects on the workplace is increasing. How AI and the futures of work are framed in traditional media has been examined in prior studies, but current research has not gone far enough in examining how AI is framed on social media. This paper aims to fill this gap by examining how people frame the futures of work and intelligent machines when they post on social media.

We investigate public interpretations, assumptions and expectations, referring to framing expressed in social media conversations. We also coded the emotions and attitudes expressed in the text data. A corpus consisting of 998 unique Reddit post titles and their corresponding 16,611 comments was analyzed using computer-aided textual analysis comprising a BERTopic model and two BERT text classification models, one for emotion and the other for sentiment analysis, supported by human judgment.

Different interpretations, assumptions and expectations were found in the conversations. Three subframes were analyzed in detail under the overarching frame of the New World of Work: (1) general impacts of intelligent machines on society, (2) undertaking of tasks (augmentation and substitution) and (3) loss of jobs. The general attitude observed in conversations was slightly positive, and the most common emotion category was curiosity.

Findings from this research can uncover public needs and expectations regarding the future of work with intelligent machines. The findings may also help shape research directions about futures of work. Furthermore, firms, organizations or industries may employ framing methods to analyze customers’ or workers’ responses or even influence the responses. Another contribution of this work is the application of framing theory to interpreting how people conceptualize the future of work with intelligent machines.

This paper aims to explore the role of perceived organizational injustice (POI) leading to workplace conflict in determining organizational performance (OP) among healthcare employees. This paper also examines the serial mediating effects of moral disengagement (MD) and knowledge hiding (KH).

In all, 244 public and private hospital employees in Pakistan provided the data set.

According to partial least squares-structural equation modeling findings, the negative association between POI and OP was serially mediated by KH and MD. The recovery process underlying the linkage between POI and OP is tested and highlighted in this paper as a first step in unraveling it.

The findings highlight the significance of taking moral and KH models into account when attempting to understand the moral cognitive processes that employees go through when they see injustice. Organizations should guarantee the equitable distribution of incentives and resources, as distributive and procedural justices are concerned with organizations.

By directing actions meant to prevent MD and KH, the findings may potentially inspire new, more focused treatments to safeguard patient safety and avoid losses in the healthcare industry. One way to reduce unethical conduct and MD is to have people declare or agree to a code of ethics.

Based on the trait activation theory, the current study systematically integrates how autonomy interacts with proactivity to influence the relationship between ethical leadership style and employee creativity.

Using simple random sampling and questionnaires, a sample of 475 engineering employees of 3 leading telecommunication companies in Ghana were obtained. The analysis was done using structured equation modeling (SEM), using SmartPLS.

The results showed that ethical leadership style provides employees with job autonomy which facilitates individual creativity. Employee proactivity also moderates a positive relationship between autonomy and creativity such that high-proactive employees are well placed to produce more creative outcomes when given autonomy. At the individual level, personal characteristics determine the degree of creativity.

The current study implies that telecommunication companies should put in more efforts to train and encourage leaders to be ethical in leaders' dealings with employees and employees must be rewarded for taking initiative.

With a focus on the integrative approach from a developing economy, this work is novel in exploring how contextual and personal features impact creativity.

Working mothers experienced dramatic changes to their daily routines during the COVID-19 pandemic. Many began to work from home as they simultaneously tried to balance work demands with tending to their children. The purpose of the current study was to examine working mothers’ experiences during the pandemic.

In order to examine working mothers’ experiences of telework during the pandemic, we conducted a focus group study. 45 working mothers participated, and they answered questions about their experiences.

Three themes emerged from the focus groups: (1) motivation shifts amongst working mothers; (2) difficulty balancing roles as mother and employee; and (3) workplace expectations and support. Many mothers reported that their overall motivation as employees had decreased and that they experienced difficulty in fully attending to their work and their child(ren)’s needs. As mothers navigated the stress of working during the pandemic, they reported varying levels of workplace support and many credited working with other parents as a primary contributor to feeling supported.

The findings from the current study add to the growing body of literature documenting the dark side of teleworking for mothers who struggled immensely with work–life balance. This study builds on past research by allowing mothers to share their experiences in their own words and offering suggestions for how organizations can support mothers in navigating these ongoing challenges as teleworking continues to remain prevalent. The narratives collected hold important implications for practices and policies to best support the needs of mothers as they continue to work and care for their children within the home.