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This paper aims to introduce latent growth curve modeling (LGCM) as a statistical technique to analyze repeated measures of longitudinal data to researchers in hospitality management.

First, the basics and extensions of LGCM are explained. Second, this paper reviews three existing empirical hospitality research studies that could have benefitted from LGCM but did not use this methodology. Third, this paper provides an overview of two specific illustrative examples of how the current authors have already used LGCM for hospitality research.

Based on explaining the basics of LGCM, delineating two examples using LGCM method and presenting new research avenues that would use LGCM to advance theoretical knowledge, this paper shows how LGCM represents a leap forward in the promotion of more rigorous research in hospitality management.

This paper is the first in hospitality to call for research based on LGCM and provide hands-on demonstrations and an agenda for this methodology.

This article reviews the extensive history of dynamic performance research, with the goal of providing a clear picture of where the field has been, where it is now, and where it needs to go. Past research has established that job performance does indeed change, but the implications of this dynamism and the predictability of performance trends remain unresolved. Theories are available to help explain dynamic performance, and although far from providing an unambiguous understanding of the phenomenon, they offer direction for future theoretical development. Dynamic performance research does suffer from a number of methodological difficulties, but new techniques have emerged that present even more opportunities to advance knowledge in this area. From this review, I propose research questions to bridge the theoretical and methodological gaps of this area. Answering these questions can advance both research involving job performance prediction and our understanding of the effects of human resource interventions.

Social support has been identified as a valuable resource that could help entrepreneurs maintain goal directness in their endeavours and increase their life satisfaction. However, to date, scant research has examined the effect of perceived social support on life satisfaction during the transition from paid employment to self-employment. This paper uses the job demand resource model (JD–R) as a theoretical lens to investigate this relationship.

Drawing on the household income and labour dynamics in Australia (HILDA) survey, we use latent growth curve modelling (LGCM) to investigate the trajectories of entrepreneurs' perceived social support and life satisfaction (n = 1,303) up to five years after their transition into self-employment.

Results suggest that entrepreneurs experience a boost in life satisfaction in the transition phase, followed by a declining trend in the years that follow. We find that both the initial perception and the evolution of perceived social support are positively related to life satisfaction over time across gender groups. However, we find that females may benefit more from early social support soon after the transition into self-employment to forestall declines in life satisfaction over the long-term.

The generalisability of the research findings beyond the Australian context is undefined. Future research needs to examine to what extent these results can generalize to other samples within different cultural and institutional frameworks.

Since perceived social support is a strong buffering mechanism that helps mitigate job demands, entrepreneurs need to be proactive in building a strong network. Individuals who switch to self-employment should carefully map and build a strong social network that can help them weather the challenges and setbacks in their new job.

This study extends the JD–R literature by examining the transition into self-employment, considered an “active job” characterised by high demands and high decision latitude. LGCM modelling captures how both initial levels and changes in social support affect life satisfaction during entrepreneurship entry and over time.

The purpose of this paper is to measure the technical efficiency and growth trajectory of Bangladeshi and Indonesian microfinance institutions (MFIs). The motivation for this study was derived from crucial roles that these institutions play in the socio-economic transformation of any nations, especially Bangladesh and Indonesia which are at least prominent in the Asian context in this regard. Rather than “proving” impact, research endeavors have shifted to focusing on “improving” the impact of MFIs, because the ability to improve their impact as socio-economic transformation platform may be hinged on their efficiency over time.

Data were obtained from MIX market database covering a five-year period from 2007 to 2011 for 20 Bangladeshi and 11 Indonesian MFIs. The data obtained were subjected to both efficiency and trajectory analysis using data envelopment analysis (DEA) based on Malmquist productivity index, independent t-test, and latent growth curve modeling (LGCM).

Overall, DEA results indicate that both Bangladeshi and Indonesian MFIs are approximately efficient under constant returns to scale, variable returns to scale, and scale. There has been an improvement in the management practices of Bangladeshi MFIs, while Indonesian MFIs have increased in optimum size. Independent t-test result shows that Bangladeshi MFIs are significantly efficient in terms of performance and firm’s size compared to Indonesian MFIs, but there is no significant difference in their efficiencies with regard to technology. The intercept and the slope of the regression weight in the estimated model using LGCM are not significantly different.

This study measures technical efficiency and growth trajectory of Bangladeshi and Indonesian MFIs over a five-year period. However, future studies could explore this in greater depth by incorporating more data.

The research findings have great implications for the Bangladeshi and Indonesian MFIs. Since this study is among the first of its kind, the researchers have paved ways for further investigation in this area. Moreover, the study encourages the Bangladeshi and Indonesian MFIs to be more concerned of their efficiencies.

This study measures technical efficiency and growth trajectory of the Bangladeshi and Indonesian (MFIs). These have never been examined together in this way before.

Why would a hospitality or tourism enterprise’s talent program backfire to demotivate interns from engaging in their jobs? This study aim to synthesize theoretical strands from the self-determination theory, person–environment fit theory and conservation of resources theory to investigate the predictors of perceived person–job fit and how such a fit causes changes in interns’ job motivation over time.

A four-wave longitudinal study was conducted. The four waves of data obtained from over 251 interns in China were analyzed using latent growth curve modeling.

The findings demonstrate that abusive co-worker treatment moderated the impact of perceived negative social status and perceived overqualification on perceived person–job fit. Moreover, perceived person–job fit is a significant predictor of the initial level of job motivation and flattens the decrease in job motivation over time. These findings demonstrate that interns’ job motivation generally decreased over time, and perceived person–job fit may help dampen the change trajectory of job motivation.

This study contributes to the practice of education and organizations in hospitality and tourism management by advocating for better interventions to improve interns’ work experience and motivations. Also, organizations can create team-building opportunities and promote teamwork that contributes to the formation of cohesive relationships and improve personal bonding.

This longitudinal inquiry conducted in China underscores the perils of hospitality/tourism internship by synthesizing a framework based on the theoretical strands germane to person–environment fit, resource conservation and self-determination. It uncovers the dark side of internship – not only due to mismanaged internship experience, but also because it could backfire to create a demotivational spiral that may ultimately drive potential talents away from hospitality/tourism organizations and industry.

To measure the dynamic features of compassion as an emotional and behavioral construct, the present research used a univariate latent growth modeling (LGM) approach within the structural equation modeling (SEM) framework. The aim was to trace the dynamic development of compassion longitudinally in accounting and business students during a three-credit English course at university.

The suggested method ensures the measurement invariance over time, deals with the first order latent variable, traces its growth and takes into account the measurement errors. This longitudinal analytical method was used to explore the initial state and the growth of compassion in four points of time during a language course. The data were collected from 60 adult accounting and business students in four time phases using Sprecher and Fehr's Compassionate Love Scale and were analyzed in Mplus 8.4 with univariate LGM.

The model fit was accepted and the invariance of the latent factor was confirmed over time. The negative covariance between intercept and slope (second-order latent variables) suggested that lower initial scores in L2 learners' compassion show a faster increase in compassion over time as the mean of slope is larger than that of the intercept. L2 learners who started off at a higher level of compassion showed a slower change in compassion over time. This can be at least partly explained by the teacher's motivating role or learners' compassion but needs to be further explored in complementary qualitative phases for deeper insights.

In the present research, awareness was raised of the developmental nature of compassion as an emotional and behavioral construct essential to the accounting and business profession. The great strength of this research lies in the dynamic approach to the compassion construct and the LGM used to capture the temporal growth of compassion and how it evolved through the L2 course.

Purpose – Our study focuses on the impacts of young adults’ financial situation and agency on success and satisfaction regarding developmental tasks (attainments in educational, work and social domains) in the context of economic upheavals.

Methodology/approach – The study is part of the longitudinal Finnish Educational Transitions Studies (FinEdu), in which high school students (N=614 at baseline) participated once before and three times after graduation (ages 19–25) while progressing to tertiary education and employment.

Findings – Agency (indicated by achievement and social approach strategies) increased, whereas achievement and social avoidance decreased from ages 19 to 25. Financial situation improved from an objective but not subjective perspective. Both high and increasing levels of agency were related to high levels of success and satisfaction regarding developmental tasks at age 25. In particular, social approach was related to educational attainment, sense of belonging, and romantic relationship satisfaction. High initial levels of agency and an improved financial situation predicted low economic pressure at age 25.

Research implications – Both sociopolitical structures and individual agency are important in shaping life course transitions in early adulthood. The apparent discrepancy between the macro-level national economic recession and young adults’ relatively high economic satisfaction could be explained by high agency in a welfare state context.

Social implications – The study shows important links between individuals’ life course and the societal context of Finland, a secure Nordic welfare state in the midst of global economic upheavals.

Originality/value of paper – Our longitudinal study makes a significant contribution to life course research by comprehensively conceptualizing the developmental tasks and considering their individual and social determinants.

Promoting customer–company identification (CCI) has become a crucial relationship marketing strategy for service firms. The purpose of this study is to examine how customers’ perceptions of service quality and corporate social responsibility (CSR) affect CCI over time. More importantly, a comparative analysis is conducted to compare the long-term effectiveness of service quality versus CSR in forming CCI.

A conceptual framework is developed and then empirically examined using latent growth curve modeling. The study data were collected from restaurant customers in Taiwan in four waves of 213 repeated measures.

The results of this study show that customers’ perceptions of both service quality and CSR affect CCI. Particularly, the results of this study indicate that compared with service quality, customers’ perceived CSR has a stronger effect in the promotion of CCI over time.

This study offers a new insight for service marketing practitioners who are planning and implementing strategies for enhancing CCI. The findings suggest that relationship investments are more effective over the long term when service firms shift their investment priority over time from achieving high service quality to increasing consumers’ belief in the firm’s commitment to CSR.

Though previous research has explored the various drivers of CCI, longitudinal examinations are surprisingly scarce in this context. Using latent growth curve modeling, this study examines how CCI antecedents influence changes in CCI over time. More importantly, this study reveals that CSR has a stronger long-term impact on CCI than service quality.

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.

The purpose of this paper is to suggest that the effects of service quality (SQ) on outcome variables may shift over time. However, scant attention has been paid to capturing that shift. The current study uses the theory of relationship dynamics to capture the rate and direction of change in the effects of SQ attributes on customer satisfaction (CS) and emotional attachment (EA). For this purpose, the study takes CS-velocity and EA-velocity as dynamic outcomes of SQ.

A sample of 306 restaurant consumers responded to a structured questionnaire at three points in time. Confirmatory factor analysis was carried out, followed by analysis of the data through latent growth curve modeling using MPlus (Version 8.1).

SQ attributes positively affect CS and EA, but these effects diminish over time, as SQ attributes negatively influence CS-velocity and EA-velocity. In addition, the study demonstrates that dynamic elements strongly impact behavioral intentions (BI).

The study enables service and relationship marketing managers to better understand the role of SQ attributes in maintaining longitudinal satisfaction, attachment and BI. The insights from this longitudinal investigation help managers to formulate long-term service management and relationship management strategies.

This study is the first attempt to examine SQ’s dynamic outcomes using longitudinal panel data. It is the first study to introduce EA-velocity as a dynamic construct of EA and the first to examine the relationships of CS-velocity and EA-velocity with BI.