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This paper aims to illustrate the application and effectiveness of a marketing programme co-designed by supply- and demand-side stakeholders to reduce consumer food waste in restaurants.

This stakeholder-based marketing pilot study adopted the co-create, build and engage framework for programme design and implementation. Major stakeholders, interacting at the point-of-sale, participated in a series of focus groups, interviews and co-design. The research process informed the marketing mix, which aimed to provide value for all parties. The four-week pilot programme was delivered in a non-buffet-style commercial restaurant chain for 10 months. The amount of consumer food leftovers was measured and compared with pre-programme baseline data to evaluate programme effectiveness.

The results show that the marketing mix co-designed by restaurant stakeholders and consumers effectively reduced food waste by almost half in the pilot period. The profitability of the pilot restaurant increased as food costs decreased.

This research demonstrates how working with stakeholders from both the supply and demand sides can identify motivations and barriers. Insights gained in the research phase can inform the delivery of a marketing mix that reduces consumer food waste. This study demonstrates the marketing research, design, implementation and evaluation process for a marketing programme that reduced consumer food waste.

To effectively reduce consumer food waste, practitioners should not only focus on changing consumers’ behaviour. Co-designing solutions with food service stakeholders to address business and operation challenges is crucial to the attainment of a positive impact at the point-of-sale.

This research shows how marketing changes behaviour in individuals and business entities, contributing to positive environmental impact through waste reduction in the commercial food service sector.

This research paper aims to explore whether and how perceived corporate social responsibility (CSR) influences employee-associated outcomes in ways that are controllable by managers. Drawing from the theories of self-determination and social identity, this study investigates the mediating effects of psychological needs fulfillment and organizational identification in exploring the mechanisms that link perceived CSR to employee job performances of Chinese state-owned tourism companies.

Survey was used to collect original data from ten Chinese state-owned tourism companies to examine the proposed model. Data was analyzed through structural equation modeling.

Employees’ perceptions of CSR are found to demonstrate significantly effective associations with their job performance. Moreover, results support that the influences of CSR on staff’s job performance are also conveyed through psychological needs fulfillment (competence) and organizational identification (i.e. cognitive identification and affective identification).

Findings not only provide strategic ideas and operational tactics for tourism managers to devise CSR strategies and allocate CSR resources but also offer inspirations to integrate CSR initiatives with human resource management strategies.

This study diverts the research of CSR from the organizational level to the individual level. This study also explores the mechanism of psychological needs fulfillment and organizational identification underlying processes in the employee perceptions of CSR–job performance linkages.

Advances in technology and the popularity of social media influencers have sparked a rise of “virtual influencers (VIs).” This study examines consumer attitudes toward VIs in social networking services and explores factors that enhance or dampen these attitudes. In three experiments, it was explored how contextual factors (background and companion) interact with human (HIs) and VIs, influencing attitudes through trustworthiness.

Three experiments were conducted using an online panel (N = 894). All experiments were based on the comparison between HIs and VI with mediating role of trustworthiness. In Studies 2 and 3, moderated mediation analyses were conducted to test hypotheses.

The results revealed that human-like VI was less trusted than animi-like VI or HIs. However, the perceived trustworthiness toward VI was enhanced when the VI was in a virtual (vs. real) environment (Study 2) or accompanied by a virtual (vs. human) companion (Study 3), leading to positive attitudes.

This research not only enriches relevant literature (avatars and SMIs) but also provides actionable insight for practitioners who design and utilize VIs. This paper proposes novel and handy tactics to enhance consumers' trustworthiness in and attitudes toward VIs.

Strategic decisions leaders make involving organizational changes such as mergers and acquisitions (M&A), divestitures, and downsizing, which can influence and/or interact with other organizational factors. For example, within the context of M&A, changes impact financial performance, firm behaviors, and organizational culture. In addition, strategic decisions for these types of change can also interrelate with other more intrapersonal factors, including both leaders’ and employees’ health and well-being. Employee stress, also referred to as “merger syndrome,” outlines individual negative impacts of the changes including, but not limited to, cynicism and distrust, change wariness, and burnout, all accumulating to psychological effects including increases in detachment to work, stress, and sick leave. In this chapter, the authors outline the different impacts M&A phases have on stress and well-being and how they interrelate with the strategic decisions leaders make. The authors also outline future research opportunities and practical implications for how leaders and employees could better manage future major changes such as M&A activities.

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.

This study aimed to explore the underlying reasons for student silence in EMI classrooms and identify the coping strategies employed by students and teachers.

Employing qualitative case study methods, in-depth semi-structured interviews and focus group discussions were conducted with both teachers and students. Thematic analysis was used for the findings.

Thematic analysis of the data revealed four primary reasons for student silence, and several effective coping strategies used by students and teachers to mitigate this challenge.

The findings provide a comprehensive understanding of the phenomenon of silence among Chinese undergraduate students in English as a medium of instruction classrooms and offer valuable insights to students and teachers to adapt and succeed in these challenging environments.

The originality of this study lies in the fact that this is among the few studies conducted on students from a foreign branch campus of an American university in China that explores the explores the phenomenon of silence of Chinese students in such universities.

Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.

This study aims to examine task and relationship conflict and their linkage with defensive communication strategies, i.e. mature, neurotic and immature defensive communication. Furthermore, Study 1 also investigated the mediating impact of relationship conflict and the moderating impact of a manager’s active-empathic listening in dealing with task conflicts and the defensive communication of the employees. Study 2 intended to assess the causal direction of task conflicts and defensive communication strategies.

This research integrates the Job Demands–Resources framework, Conservation of Resources theory and Conflict Expression framework. Data from 124 professionals in India’s tertiary industry was gathered using a longitudinal approach. Study 1 analyses the dynamics between conflicts and defensive communication while considering managers’ active-empathic listening as a potential mitigating factor. Study 2 was conducted after a 10-month interim to delve into the intricate causal connections between defensive communication strategies and task conflicts. For analysing the data, SPSS was used for conducting confirmatory factor analysis. Furthermore, to analyse the conceptual framework and the hypothesised relationships in this study, partial least squares (PLS) modelling was performed using Smart-PLS 4.0.

Task conflicts have a significant negative association with mature and neurotic defensive communication, whereas they have a strong positive relationship with immature defensive communication. Relationship conflict significantly mediates the association between task conflict and immature defensive communication. The moderating role of the manager’s active-empathic listening was not supported. In addition, the relationship between immature defensive communication and task conflict is significantly positive, outlining their bidirectional association. In contrast, the association between mature defensive communication is significantly negative. This highlights the potential of immature defensive communication to create escalatory conflict spirals and of mature defensive communication to de-escalate them.

Defensive communication strategies, commonly explored in the psychological realm, particularly within family and romantic relationship contexts, have received limited attention in organisational behaviour. This longitudinal study offers a unique perspective on the evolution of defensive communication and its impact on task conflict over time, enhancing the understanding of how individuals adapt their communication strategies as conflicts persist or dissipate. The investigation also advances the understanding of conflict spirals, illustrating the potential of mature defensive communication to de-escalate conflicts while revealing a bidirectional connection between immature defensive communication and task conflicts.

Leaders need to prioritise addressing task conflicts, particularly those that might spiral into relationship conflicts. This would present managers with the ability to make task conflicts more functional in nature, which could help to enhance both team and organisational achievements. The bidirectional relationship between task conflict and immature defensive communication points towards the exigency for managerial and organisational initiatives to prevent the development of conflict spirals at the workplace.

This study offers crucial interdisciplinary perspectives into the body of literature with the longitudinal investigation of the connections between managers’ active-empathetic listening, task conflict, relationship conflict and the various defensive communication strategies. With the help of insights from this study, managers and leaders will be empowered to take the necessary actions to reduce employee defensive behaviours and foster a supportive culture for evoking positive and desirable performance.

This paper critically examines the effectiveness of male anchor in cross-gender endorsements and questions whether it can truly deliver positive outcomes for advertisers in the context of live streaming. It explores the underlying mechanisms of this effect by examining the mediation effect of perceived gender-identity incongruence and the moderation effect of anchor presence.

Three experiments are conducted to examine the effect of cross-gender endorsement on purchase intention.

The findings from three experiments provide empirical evidence that the endorsement of female-gendered products by male anchors leads to a significant decrease in the evaluation of these products among female consumers. This negative effect is mediated by a sense of gender-identity incongruence experienced by female consumers. Furthermore, the study demonstrates that female customers exhibit higher purchase intent for female-gendered products endorsed by male virtual anchors compared to real anchors; however, the same pattern was not observed in the case of female anchors.

This paper empirically examines the possible negative effects of the male anchor endorsement in the live streaming context. It reveals the underlying mechanism of this negative effect, and how the virtual “presence” take a role in this underlying mechanism.