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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.

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 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.

This study is to examine factors contributing to the variability in chronic obstructive pulmonary disorder (COPD) and asthma hospitalization rates when the influence of patient characteristics is being simultaneously considered by applying a risk adjustment method.

A longitudinal analysis of COPD and asthma hospitalization of rural Medicare beneficiaries in 427 rural health clinics (RHCs) was conducted utilizing administrative data and inpatient and outpatient claims from Region 4. The repeated measures of risk-adjusted COPD and asthma admission rate were analyzed by growth curve modeling. A generalized estimating equation (GEE) method was used to identify the relevance of selected predictors in accounting for the variability in risk-adjusted admission rates for COPD and asthma.

Both adjusted and unadjusted rates of COPD admission showed a slight decline from 2010 to 2013. The growth curve modeling showed the annual rates of change were gradually accentuated through time. GEE revealed that a moderate amount of variance (marginal R ² = 0.66) in the risk-adjusted hospital admission rates for COPD and asthma was accounted for by contextual, ecological, and organizational variables.

The contextual, ecological, and organizational factors are those associated with RHCs, not hospitals. We cannot infer how the variability in hospital practices in RHC service areas may have contributed to the disparities in admissions. Identification of RHCs with substantially higher rates than an average rate can portray the need for further enhancement of needed ambulatory or primary care services for the specific groups of RHCs. Because the risk-adjusted rates of hospitalization do not vary by classification of rural area, future research should address the variation in a specific COPD and asthma condition of RHC patients.

Risk-adjusted admission rates for COPD and asthma are influenced by the synergism of multiple contextual, ecological, and organizational factors instead of a single factor.

The objective of this study was to determine whether an association between coparenting trajectories and parental commitment exists five years after the birth of focal children. Situated in commitment theory, the study used data from the Fragile Families and Child Wellbeing Study to estimate latent growth curve models to test the relationship between coparenting trajectories and commitment theory. Results show that the coparenting trajectory decreased over the four-year period, but reports remained high. Mothers who report high levels of coparenting also report being committed to the biological father, albeit commitment is low. This finding shows that parents may be dedicated to their children and constrained by the parental dyad. These findings support the hypothesis that children are constraining the parental dyad. Further, coparenting among unmarried, cohabiting parents influence parental relationships over time–substantiating the argument that a “new package deal” exists.

Social implications – If parents feel constrained to each other due to shared children, policies directed at coparenting, rather than marriage incentives and promotion, could help parents learn to negotiate their parental duties with each other to ensure that both parents are vested in their children’s lives.