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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.

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.

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.

This study seeks to examine the effect of work-related boredom and a perceived lack of external stimulation on benevolent and entitled employees' perceived inequity and discretionary workplace behaviors.

A total of 668 useable three-wave panel data were obtained via Amazon Mechanical Turk during a three-month period. The hypothesized model was tested using a latent growth curve modeling via EQS 6.4 for Windows.

This study finds the following results. First, benevolent employees who experience higher initial work-related boredom report positive inequity. Second, entitled employees who experience higher initial work-related boredom and a perceived lack of external stimulation report negative inequity. Third, increases in work-related boredom and a perceived lack of external stimulation result in a faster increase in entitled employees' perceived negative inequity. Fourth, entitled employees who perceive higher negative inequity at the initial measurement period report higher interpersonal deviance. Finally, increases in entitled employees' perceived negative inequity result in a faster increase in interpersonal deviance.

This study highlights how employees may assess their effort and rewards when experiencing boredom. This study also offers some practical recommendations that help human resource managers manage boredom in the organization effectively.

This paper aims to explore the influence of collective orientation (CO) on coordination and team performance for interdependently working teams while controlling for person-related and team variables.

A total of 58 two-person-teams participated in a simulation-based firefighting task. The laboratory study took 2 h for each team. The effects of CO in tasks of increasing complexity were investigated under the consideration of control variables, and the relations between CO, coordination and team performance were assessed using a multivariate latent growth curve modeling approach and by estimating indirect effects in simple mediation models.

Team members high on CO performed significantly better than low-scoring members. The effect of CO on team performance was independent from an increasing task complexity, whereas the effect of CO on coordination was not. The effect of CO on team performance was mediated by coordination within the team, and the positive relation between CO and performance persists when including group efficacy into the model.

As CO is a modifiable person-related variable and important for effective team processes, additional research on factors influencing this attitude during work is assumed to be valuable.

CO is especially important for highly interdependently working teams in high-risk-organizations such as the fire service or nuclear power plants, where errors lead to severe consequences for human beings or the environment.

No other studies showed the importance of CO for coordination and team performance while considering teamwork-relevant variables and the interdependence of work.

This study aims to contribute to entrepreneurial intention research by examining the theory of planned behavior model in a longitudinal follow-up of the same individuals from a point at which they were studying until six to eight years after graduation and the link between entrepreneurial intention and actual behavior. The objectives of the paper are as follows: to examine the development and temporal stability of entrepreneurial intention and to examine the link between entrepreneurial intention and actual start-up behavior in a longitudinal setting.

The data for this research originate in Finland and consist three data collection waves between years 2008 and 2018. In the second wave, 282 respondents were reached, and in the third wave, 89 respondents were reached. For examining the stability of entrepreneurial intention, latent growth curve modeling was used. In addition, a logistic regression analysis was conducted to examine the link between intention and behavior.

The results suggest that entrepreneurial intention is a stable construct over time. High and low levels of entrepreneurial intention remain quite stable. Entrepreneurial intention measured during study time significantly explains entrepreneurial behavior both after one to three years (Exp (B) 2,069***) and after six to eight years (Exp (B) 1,830*). Gender and role models are significant factors in predicting entrepreneurial behavior.

This study provides new information on the stability of entrepreneurial intention in a rare longitudinal setting. The study verifies the value of intention measures in predicting entrepreneurial behavior in the long term.

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.

The purpose of this paper is to examine the relationship between training and development investment and financial performance over time. Human capital literature suggests that training and development investment may not immediately affect financial performance but may instead create effects that are realized over time. However, most existing cross-sectional research explores the influence of training and development investment on performance while overlooking training and development investment’s long-term effects.

This study focuses on the recovery period following the Great Recession circa 2008 in the South Korean business context. Longitudinal data from 312 firms, including four distinct waves, were used. Latent growth modeling was used to help identify a pattern of reciprocal relationships between training and development investment and financial performance over time.

The results indicate that even though growth in training and development investment is stable over time, there are significant between-firm differences in training and development investment trajectories over time. Prior financial performance was shown to be positively related to higher levels of training and development investment, but it was not related to growth in training and development investment. The initial level of training and development investment did not predict subsequent profit, but growth in training and development investment was positively related to future financial performance.

This study suggests that as an organization’s training and development investment increases over time, a delayed effect on financial performance may emerge because of this accumulated investment. Ultimately, the results highlight the importance of having a stock of human capital, rather than concentrating upon momentary flows that yield immediate effects.

Customer satisfaction (CS) and customer-company identification (CCI) are two important relational constructs and play a complementary role in the service-profit chain. Drawing from the theory of relationship dynamics, the purpose of this paper is to define CS velocity and CCI velocity as the rate and direction of change in CS and CCI, respectively. A comparison of the relative effects of CCI velocity and CS velocity on customer loyalty is done through a latent growth curve modeling approach.

A conceptual model is developed and empirically tested based on four waves of a longitudinal survey of 213 restaurant customers.

The results show that both CCI velocity and CS velocity have positive effects on customer loyalty. More importantly, the effects of CCI velocity on customer loyalty over time are stronger than those of CS velocity. The moderation analysis further shows that the higher the frequency of visits to the service firm, the stronger the effects of relationship velocity on customer loyalty.

The results provide new insights for service marketing managers by suggesting that, to benefit the long-term effectiveness of relationship investments, service firms should shift the priority from increasing CS to engendering CCI.

This paper contributes to the theory of relationship dynamics by conceptualizing new constructs of CS velocity and CCI velocity and by empirically comparing their relative effects on customer loyalty over time.

During the Covid-19 outbreak, universities around the globe were closed or went online due to lockdowns implemented to curb the pandemic's spread. This study aims to examine the changes in Malaysian academics' job and life satisfaction during a testing four-month period, from the beginning of the first Covid-19 lockdown until two months after it ended. It also assesses the impact of affective states and age group on these two constructs.

In this longitudinal study, the authors collected data from 220 academics in Malaysia at three time points in 2020, namely the beginning of the lockdown (April), the end of the lockdown (June) and two months after the lockdown (August). The authors applied multivariate latent growth curve (LGC) modeling to study changes in job satisfaction and life satisfaction. In addition, we added age group, as a time-invariant covariate, as well as positive and negative affect, as two time-varying covariates, to our LGC model. The authors estimated the LGC model using the EQS 6.4 statistical package.

The results show that both job and life satisfaction were stable over time, although their means were below the average. Positive affect was a significant predictor of both types of satisfaction, and age group was a significant predictor of job satisfaction.

The main implication the authors draw from this study is connected to job and life satisfaction's mean values being below average. In line with the affective events theory (AET), the authors recommend paying particular attention to work environment features, such as providing sufficient infrastructure for employees working from home and keeping social relations intact. Especially young academics should receive sufficient support.

The study is one of a limited number that examined longitudinal effects during the Covid-19 pandemic in the domains of human resource management and organizational behavior. Hence, this study expands our knowledge of employees' affect and attitudes during an unprecedented global health crisis, particularly in the under-researched area of the Malaysian higher education sector.