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Amidst the turbulent tides of geopolitical uncertainty and pandemic-induced economic disruptions, the information technology industry grapples with alarming attrition and aggravating talent gaps, spurring a surge in demand for specialized digital proficiencies. Leveraging this imperative, firms seek to attract and retain top-tier talent through generous compensation packages. This study introduces a holistic, integrated theoretical framework integrating machine learning models to develop a compensation model, interrogating the multifaceted factors that shape pay determination.

Drawing upon a stratified sample of 2488 observations, this study determines whether compensation can be accurately predicted via constructs derived from the integrated theoretical framework, employing various cutting-edge machine learning models. This study culminates in discovering a random forest model, exhibiting 99.6% accuracy and 0.08° mean absolute error, following a series of comprehensive robustness checks.

The empirical findings of this study have revealed critical determinants of compensation, including but not limited to experience level, educational background, and specialized skill-set. The research also elucidates that gender does not play a role in pay disparity, while company size and type hold no consequential sway over individual compensation determination.

The research underscores the importance of equitable compensation to foster technological innovation and encourage the retention of top talent, emphasizing the significance of human capital. Furthermore, the model presented in this study empowers individuals to negotiate their compensation more effectively and supports enterprises in crafting targeted compensation strategies, thereby facilitating sustainable economic growth and helping to attain various Sustainable Development Goals.

The cardinal contribution of this research lies in the inception of an inclusive theoretical framework that persuasively explicates the intricacies of a machine learning-driven remuneration model, ennobled by the synthesis of diverse management theories to capture the complexity of compensation determination. However, the generalizability of the findings to other sectors is constrained as this study is exclusively limited to the IT sector.

The purpose of the current research is to examine the crucial role of employees' perception of an incivility norm in predicting supervisors' incivility behaviors, which in turn, results in employees enacting incivility toward their coworkers and employees' emotional exhaustion.

In Study 1, an experience sampling method (a daily-diary approach) in which 143 male participants from several construction sites completed a total of 1,144 questionnaires was used . In Study 2, cross-sectional data from 156 male employees working in a manufacturing organization was collected. In Study 3, a quasi-experiment was conducted in which 33 and 36 employees were assigned to the intervention and control groups, respectively.

In Studies 1 and 2, it was revealed that employees are likely to experience their supervisor’s incivility behaviors when perceiving such incivility behaviors are more acceptable within the organization (incivility norm). Further, once employees experience incivility from their supervisor, they are more likely to enact incivility toward their coworkers and experience emotional exhaustion. In Study 3, changing organizational policies via implementing grievance procedures was effective in improving the study’s outcome variables.

Incivility norms predict some negative work outcomes such as incivility behaviors as both a victim and instigator, and emotional exhaustion. Further, reducing an adverse organizational norm (i.e. incivility norm) via instituting grievance procedures was effective in reducing incivility behaviors and emotional exhaustion.

This chapter compares the current biodiversity practices of higher education institutions (HEIs) and their learning effects of the Global North and South. It particularly explores the HEIs’ strategies targeting biodiversity and ecosystem services preservation. In order to answer the research question, a qualitative content analysis of published sustainability reports of the systematically selected HEIs was performed. The Times Higher Education (THE) was used to select HEIs. The results show that biodiversity reporting and management is still in its early stages in HEIs from both the Global North and South and could benefit from further research and suggestions for improvement. One implication for the HEIs is that they could increase public awareness and knowledge of biodiversity through the integration of this topic into their curricula, more research projects on biodiversity, and operations on and off campus.

Despite enormous literature on Human Resource Management (HRM) practices in the context of Mergers and Acquisitions (M&As), researchers have not come up with a synthesis that integrates the role and importance of HRM practices during M&As. This study aims to identify, analyse and synthesise existing literature to discover associated HRM practices that facilitate organisational change during M&As.

Bibliometric analysis is performed using 473 research articles entailing 871 authors from 62 countries (published in Scopus and WoS listed journals), followed by a thematic cluster analysis using bibliographic coupling. The analysis is performed using different means as citation analysis, cluster analysis and keyword analysis to reveal the most significant publications, authors, keywords, trends and future research questions.

The results are primarily descriptive and aim at capturing a panoramic view of what was already written on the topic so far. The bibliometric analysis is conducted using different means like citation analysis, cluster analysis and keyword analysis to reveal the most significant publications, notable authors, keywords, current research trends and future research questions. Further, the bibliographic coupling analysis led to the identification of the following six clusters: (1) coping strategies during and post-M&As; (2) changes in individual and organisational identification during and post-M&As; (3) role of cultural and transformational leadership in M&As success; (4) HRM practices to develop employee capabilities post-M&As; (5) case studies and success stories of M&As; and (6) organisational readiness for M&As.

This study has theoretical and practical implications and suggests future research directions. The authors also propose an abstruse model for HRM practices during M&A process for further investigation.

This is the first bibliometric study to explore the vast extant literature in M&A research related to the role of HRM practices in the execution of successful M&As.

Research is needed regarding how to influence young adults’ patterns of cell phone use while driving, amid social pressures to stay connected to their peers. Such insight could form the basis of a social marketing campaign. This study aims to explore the potential of inoculation and narrative messages as strategies to protect (i.e. generate resistance against) negative attitudes toward texting and driving.

Using a three-phase experiment, the investigation explored the impact of different communication message strategies (i.e. inoculation, narrative, control) aimed at reducing texting while driving.

Results indicated that, for college students exposed to messages in support of texting and driving, inoculation messages were superior to both narrative and control messages. These findings can guide the development of strategic social marketing interventions.

Social marketing scholars and practitioners should consider weaving inoculation messages throughout social marketing campaigns focused on this important issue.

To the authors’ knowledge, this is the first study to evaluate and compare inoculation and narrative strategies in the context of texting and driving.

The paper has a twofold purpose: (1) to test the application of means-end theory to providers of hospitality goods and services, and (2) to explore this question in the context of winery tasting rooms when they had a unique opportunity to restructure their hospitality experience due to government restrictions in response to COVID.

A qualitative approach was adopted, and a convenience sample was used to conduct semi-structured laddering interviews. Forty interview transcripts were coded as means-end ladders, which were analyzed using a custom computer program to develop the implication matrix and the hierarchical value map.

This paper demonstrates that means-end is a useful approach to investigate the values and behaviors of the producer, specifically hospitality hosts. It finds that the principal goal of tasting rooms is to generate sales, and offering a compelling guest experience is the characteristic that contributes the most to achieving that goal. The staff and the atmosphere created for the guests are the two factors with the greatest influence on the guest experience.

This is the first paper to use means-end theory to study the hospitality host, or the producer of goods and services in general, and the first to study winery hospitality primarily through the lens of means-end theory. The study also helps fill a gap in research on tasting room sales focused on the winery’s goals.

As one of the most influential theories in strategic management, Hambrick and Mason’s Upper Echelons Theory has yielded significant conceptual and empirical advancements linking executive characteristics and perceptions to decision-making. Specifically, work on this theory consistently shows that CEOs’ decisions are biased by personal characteristics to the benefit and detriment of firms. While this stream of research links executive decision processes to outcomes such as executive dismissals, analyst evaluations, and press coverage, surprisingly little is understood about if and whether the information CEOs convey is subject to the same filtering process by a firm’s key evaluators. Thus, in this chapter, we aim to extend Upper Echelons Theory by positing that a double filtering process occurs whereby the cognitive aids CEOs use can be informed by not only their cognitive base and values but also the characteristics and priorities of those who evaluate the nonverbal and verbal signals they send. To do so, we build on recent conceptual and empirical advancements to make a case for the decision-making biases and tendencies that influence signal interpretation by three key evaluator groups internal and external to the firm: boards of directors, financial analysts, and the media. We conclude by considering the implications of evaluators’ information filtering and how this more holistic view of Upper Echelons decision-making can enable executive teams to be strategic with the cognitive aids they use to influence evaluations.