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This strategic commentary aims to examine the benefits and drawbacks of rigid frameworks versus flexible approaches to measuring employee engagement, arguing for a hybrid model that incorporates the best of both to better correspond with organisational subtleties and strategic goals.

This study compares the standardised, benchmarking capabilities of inflexible frameworks such as Gallup’s Q12 to the adaptability and customisation potential of flexible approaches. It emphasises the creation and implementation of a hybrid methodology that preserves the integrity of engagement measurement while also incorporating organisational-specific insights.

Despite their different benefits, rigid frameworks may neglect distinct organisational cultures, whereas completely flexible techniques may suffer with measuring consistency. A hybrid model, which combines core standardised questions and unique items, provides a balanced solution for improving the relevance, actionability and reliability of engagement data across dynamic organisational landscapes.

The discussion culminates with the proposal of a hybrid measurement strategy as a strategic innovation in human resource management. By combining scientific rigour and contextual sensitivity, this model provides a nuanced roadmap for organisations looking to thoroughly understand and effectively negotiate the complexity of employee engagement in an evolving work environment.

As academics, quantitative and/or qualitative methods are at the heart of the research we conduct and the insights we seek to share with the world. However, this does not always translate into impactful engagement for the stakeholders and communities we engage with, despite the evidence that indicates the potential to do so. One of the critical ways that academics can generate impact is through community and stakeholder engagement – developing networks and external partnerships that work collaboratively to generate change. Research indicates that more participatory methods of engagement where stakeholders can co-create solutions have the greatest transformational potential for impact. The key to differentiating meaningful and impactful stakeholder engagement from distinct concepts such as communication or consultation is understanding the level of influence the stakeholder will have on the decision. This chapter provides a practical guide for academics to build their practice in impactful engagement throughout their career through eight simple steps. Using the International Association for Public Participation (IAP2) spectrum of public participation, an example of how engagement methods can be selected to build impactful engagement skills throughout the academic career is illustrated. Impactful engagement has the capacity to bring diverse voices and perspectives together to shape decisions and change, and in so doing, create greater impact.

The increasing relevance of environmental, social and governance (ESG) engagement has attracted interest in its drivers and effects on business outcomes under different organizational settings. By focusing on family firms (FFs), we deepen both the role of business ethics as a predictor of enhanced ESG engagement and the link with improved corporate financial performance (CFP). In this way, we aim to provide new insights into the impact of business ethics and ESG engagement on FFs competitiveness.

Based on a worldwide panel of 335 FFs covering the 2002–2020 time horizon, this study adopts a two-stage Heckman model (1979) to empirically address two research questions: (RQ1) Do business ethics predict greater ESG engagement in FFs? (RQ2) Does ESG engagement positively affect the corporate financial performance (CFP) of FFs?

The results of the current study are twofold. First, we demonstrate that an ethical approach to business drives greater ESG engagement. Second, we show that higher levels of ESG engagement lead to improved financial performance in FFs.

Our study contributes to filling the knowledge gaps regarding the drivers and effects of ESG engagement in FFs. On the one hand, we demonstrate the positive connection between dimensions that have their own identity, such as business ethics and ESG constructs. On the other hand, by shedding light on the impact of ESG engagement on improved CFP, we contribute to solving the trade-off between economic and noneconomic FF goals.

The purpose of this paper is to examine career engagement and perceived employability during the school-to-work transition. We studied within-person changes in career engagement and perceived employability in the transition from higher education to the labor market. We investigated their dynamic reciprocal relationship to unravel whether career engagement or perceived employability is the leading indicator in the relationship in view of providing adequate support for students during the school-to-work transition.

We conducted latent change score (LCS) analyses on a three-wave sample of 701 graduates in Flanders (Belgium). We collected data in July (right before graduation), November and May. LCS is a novel method allowing to simultaneously test change and reciprocal relationships.

Our findings demonstrated how both career engagement and perceived employability changed (within-person) non-linearly during the school-to-work transition. As for their relationship, we found that perceived employability is the driving force in the relationship. Perceived employability fueled subsequent positive changes in career engagement, whereas career engagement did not lead to subsequent changes in perceived employability.

Our study connects the career development and the graduate employability literature, and examines the school-to-work transition from preparation for the labor market to ten months after graduation. We also make an important methodological contribution, demonstrating the added value of LCS for studying employability in higher education. Our findings provide insights in how higher education institutions may support students in the school-to-work transition.

This study proposes a conceptual model and aims (1) to understand how co-creation experience influences guest engagement, (2) to analyse the effect of satisfaction and affective image between co-creation experience and guest engagement, and (3) to analyse the effect of guest engagement on behavioural intentions.

A questionnaire-based online survey was conducted targeting U.S.-based hotel customers. Developed on Qualtrics and distributed via Mechanical Turk, the survey garnered 465 useable responses from individuals who had visited international chain hotels within the last year. Data analysis was performed using Structural Equation Modelling (SEM) in IBM SPSS Amos.

The findings revealed significant direct effects of co-creation experience on affective image and guest satisfaction, with guest satisfaction notably influencing guest engagement, and guest engagement directly influencing behavioural intention. However, both co-creation experience and affective image showed minimal direct impact on guest engagement. The study also highlighted the importance of indirect effects and total effects in understanding the dynamics between the constructs analysed.

The findings revealed significant direct effects of co-creation experience on affective image, with affective image notably influencing guest engagement, and guest engagement directly influencing behavioural intention. Although satisfaction had direct effects on guest engagement, co-creation experience showed minimal direct impact on guest satisfaction and on guest engagement.

This study advises managers to use co-creation primarily to enrich guest experiences and establish emotional connections rather than as a tool for directly enhancing engagement. It recommends that managers invest in strategies to enhance guest engagement beyond co-creation given the direct link between guest engagement and behavioural intentions, and the minimal direct impact between co-creation, guest engagement and satisfaction.

This study demonstrates that affective image is a pivotal mediator between co-creation experience and guest engagement. The findings provide valuable implications for hospitality practitioners in designing and managing co-creation experiences, emphasizing the importance of fostering a positive affective image in the value co-creation process to attain positive behavioural outcomes.

Intensified job demands (IJDs; work intensification, intensified job- and career-related planning and decision-making demands, and intensified learning demands) illustrate the intensification of working life. This study examined relationships between IJDs and work engagement.

Nine diverse samples (n = 7,786) were analyzed separately via regression analysis by estimating linear and curvilinear relationships between IJDs and engagement.

The results showed that certain subdimensions of IJDs, i.e. intensified learning demands, related positively to engagement across several subsamples. Moreover, learning demands showed a curvilinear relationship with engagement in several subsamples; engagement was highest in a moderate level of learning demands whereas low and high levels of learning demands were associated with lower engagement. We also found that other subdimensions of IJDs did not show consistent positive relationships with engagement, and some of them were negatively associated with engagement.

Cross-sectional design.

Organizations should consider what would be the optimal level of learning demands as excessive learning demands can be detrimental to employees’ engagement.

This is a first study focusing on different manifestations of the intensification of working life, operationalized via IJDs, and their curvilinear relationships with engagement by applying a multi-sample design.

Drawing upon uses and gratifications (U&G) theory and customers' online brand-related activities framework, the present study aims to examine the influence of customers’ motivations to engage with brand-related social media content on different social media engagement behaviors (consumption, contribution and creation) and brand-related outcomes (brand trust and brand loyalty) in the quick service restaurant (QSR) context.

Based on a self-administered survey dataset of 500 social media users who are customers of QSR brands, partial least square structural equation modeling is used to verify the hypotheses.

Results showed that interactivity motivation and information motivation drive all the social media engagement behaviors (consumption, contribution and creation). The results also confirmed the mediating effect of brand trust on the relationship between two levels of social media engagement behaviors (consumption and contribution) and brand loyalty.

To entice customers to engage with QSR brands on social media, social media marketing managers should incorporate elements of interactivity, information, entertainment and incentive into QSR social media brand posts rather than relying solely on delivering social media content in a variety of ways such as photos, videos and status updates.

This study makes a novel contribution to hospitality and social media engagement literature, thus uncovering opportunities for managers to engage their customers on social media.

Employee engagement (EE) continues to be one of the most difficult challenges for organizations today. Numerous factors have been linked to EE, according to studies. However, the necessary human resource management (HRM) strategies and systems for enhancing EE have not yet been developed. It is questionable if all employees inside the company require the same HRM strategies, to boost engagement as one size does not fit all. Therefore, it is necessary to create employee profiles based on factors associated with EE. This study aims to develop employee profiles based on engagement dimensions and outcomes. It seeks to comprehend the relationship between engagement level and factors such as age, years of service and employment grade.

Using latent profile analysis (LPA), we identified five EE profiles (highly engaged, engaged, moderately engaged, disengaged and highly disengaged). These five profiles were characterized by five EE dimensions (Culture Dimensions, Leadership Dimensions, People Process, Business alignment Dimension and Job Dimension) and EE outcomes (Say, Stay and Strive).

The study revealed that Engaged profiles exhibited low stay outcomes. The highest percentage of disengaged employees fall under 25 years of age with less than 5 years of experience and are at the entry level.

The study highlights the significance of the people processes dimensions in enhancing engagement. Profiles with low people process dimensions showed high disengagement. Person-centered LPA adds and complements variable-centered approach to develop a better understanding of EE and help organizations devise more personalized strategies. The study would be of interest to both academics and practitioners.

The novelty of this study lies in its attempt to model the employee profiles to comprehend the relationship between engagement levels using LPA.

This paper aims to present a dynamic model for strategic and personalized decision-making in human resources (HR), using data mining techniques to enhance corporate social sustainability (CSS). The focus is on the interconnectedness of employee engagement (EE), enablement and the quality of work life.

The proposed model integrates various HR data, including demographic information, job specifications, payment and rewards, attendance and absence, alongside employees’ perceptions of their work-life quality, engagement and enablement. Data mining processes are applied to generate meaningful insights for senior and middle managers.

The study implemented the model within a production organization, revealing that factors influencing EE and enablement differ based on gender, marital status and occupational group. Performance-based rewards play a significant role in enhancing engagement, regardless of the reward amount. Factors such as “being recognized for competency” influence engagement for women, while payment has a greater impact on men. Engagement does not directly influence the quality of work life, but subcomponents like perceived transparency and the organization’s processes, particularly the “employee performance evaluation system,” improve work-life quality.

The findings are specific to the studied organization, limiting generalizability. Future research should explore the model’s effectiveness in different cultural and organizational settings.

The proposed model provides practical implications for organizations that enhance CSS. Organizations can gain insights into factors influencing EE and enablement by using data mining techniques, enabling informed decision-making and tailored human resource management practices.

This research addresses the societal concern regarding the impact of business activities on sustainability. Organizations can contribute to a more socially responsible and sustainable business environment by focusing on work-life quality and EE.

This paper offers a dynamic model using data mining and machine learning techniques for sustainable human resource management. It emphasizes the importance of customization to align practices with the unique needs of the workforce.

This study aims to explore the impact of athlete brand image on fans’ social media engagement, purchase intentions, and also examines the mediating role of emotional attachment on these relationships, as well as the moderating role of perceived price value between emotional attachment and purchase intentions.

The data are based on an online survey conducted in China (N = 572). The PLS-SEM (partial least squares structural equation model) and regression-based estimation method (PROCESS) are employed to test the hypotheses.

The results indicate a positive relationship between athletes’ athletic performance and fans’ social media engagement as well as purchase intentions. The impact of athletes’ attractive appearance and marketable lifestyle on fans’ purchase intentions is sequentially mediated by emotional attachment and social media engagement. Moreover, the mediation effect of athletes’ off-field image and purchase intentions is contingent upon fans’ perceived price value.

Athletes and marketers could integrate and leverage both the on-field and off-field attributes to cultivate emotional connections with fans. Sports organizations and managers need to pay attention to fans’ social media engagement and provide content that increases engagement and converts into transactional behavioural intentions.

The study provides empirical evidence of the mediating role of emotional attachment between athlete brand image and fans’ purchase intentions. The explanatory mechanisms involving emotional attachment and social media engagement (non-transactional behavioural intentions) are anticipated to be a noteworthy addition to the traditional fan transactional behavioural intentions framework. Moreover, the research introduces and confirms perceived price value as a crucial moderating factor influencing the relationship between emotional attachment and purchase intentions.