Application of Relationship Investment Model in Predicting Student Engagement towards HEIs

Zainol, Zuraidah; Yahaya, Rusliza; Osman, Juliana

doi:10.1080/15332667.2018.1440143

Cited by 14 publications

(10 citation statements)

References 59 publications

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“…The ratio between the average of trait factors and the average of method factors is 155.097, indicating that common method bias is not severe and the correlations of the constructs are acceptable (Liang et al 2007 ). Meanwhile, the study also utilises the Harman single-factor test to check the issue of common method variance (CMV) (Zainol et al 2018 ). Specifically, the Harman single-factor test is conducted by using principal component analysis and loading all items into a factor (Podsakoff et al 2003 ).…”

Section: Discussionmentioning

confidence: 99%

Understanding the real-time interaction between middle-aged consumers and online experts based on the COM-B model

Kang

2022

J Market Anal

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This paper presents a study of middle-aged online consumers’ specific shopping behaviour on live streaming platforms and analyses the distinct marketing strategy provided by online experts. Influenced by unique social and cultural backgrounds, middle-aged online consumers lack related shopping experience and keep counterfeiting concerns to live streaming shopping, making them prefer to interact with online experts before making final decisions. Based on the COM-B Behaviour Changing theory and the Emotional attachment theory, the research model has been established in this study, and it divides influencing factors into the Emotion unit, Opportunity unit and Capability unit. To test the relationships between influencing factors and middle-aged online consumers’ interactive motivation, the partial least-squares path modelling and variance-based structural equation modelling (PLS-SEM) have been applied on the SmartPLS. By analysing 450 samples, the study shows that the counterfeiting concern and ease of use factors positively impact online consumers’ motivation to interact with online experts, and self-efficacy plays a negative role.

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Section: Discussionmentioning

confidence: 99%

Understanding the real-time interaction between middle-aged consumers and online experts based on the COM-B model

Kang

2022

J Market Anal

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“…On the other hand, the Investment model [33] explains commitment and the decision to persist in a relationship (in this case, to continue in the study program) based on satisfaction, quality of alternatives, and investment size. Satisfaction and investment have a positive effect on commitment, while the attractiveness of any other alternative has the opposite effect [34]. This method has been used in the past to explain the dropout phenomenon in higher education at the freshman level [35].…”

Section: Literature Reviewmentioning

confidence: 99%

Curricular Analytics to Characterize Educational Trajectories in High-Failure Rate Courses That Lead to Late Dropout

et al. 2021

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Late dropout is one of the most pressing challenges currently facing higher education, and the process that each student follows to arrive at that decision usually involves several academic periods. This work presents a curricular analytics approach at the program level, to analyze how educational trajectories of undergraduate students in high-failure rate courses help to describe the process that leads to late dropout. Educational trajectories (n = 10,969) of high-failure rate courses are created using Process Mining techniques, and the results are discussed based on established theoretical frameworks. Late dropout was more frequent among students who took a stopout while having high-failure rate courses they must retake. Furthermore, students who ended in late dropout with high-failure rate courses they must retake had educational trajectories that were on average shorter and less satisfactory. On the other hand, the educational trajectories of students who ended in late dropout without high-failure rate courses they must retake were more similar to those of students who graduated late. Moreover, some differences found among ISCED fields are also described. The proposed approach can be replicated in any other university to understand the educational trajectories of late dropout students from a longitudinal perspective, generating new knowledge about the dynamic behavior of the students. This knowledge can trigger improvements to the curriculum and in the follow-up mechanisms used to increase student retention.

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“…Rusbult's (1980Rusbult's ( , 1983) model of commitment posited three predictors, satisfaction with the relationship (the degree to which the environment adequately fulfills individuals'), alternatives to the relationship (the availability of other options that could fulfill needs), and investments in the relationship (the amount of time, effort, and other resources individuals put into the environment). This model conceptualizes commitment to mediate the impact of satisfaction, quality of alternative choices, and investment scale on relationship persistence (Kelley and Thibaut 1978;Rusbult et al 1986;Winking 2018;Zainol 2018) with natural environment because of the benefits of interaction (Rusbult and Buunk 1993;Hammitt et al 2006;Vaske and Kobrin 2001). Individual satisfaction with the environment and investment scale in the environment will affect conservation behaviors and intentions through their commitment to the environment.…”

Section: Commitment To the Environmentmentioning

confidence: 99%

“…People would commit on the relationship and be loyal to partnerships (Rusbult et al 1998), whether the relationship with a spouse, an organization, or the natural environment (Le and Agnew 2003;Coy et al 2013). Some studies have provided evidence of the applicability of the commitment model in many noninterpersonal contexts (Koslowsky and Kluger 1986;Carpenter and Coleman 1998;Jiang et al 2011;Le and Agnew 2003), including in industrial relationships (Huang et al 2007), company-customer relationship (Bugel et al 2010;Nusair et al 2011), customer-institution relationship (Sung and Choi 2010;Zainol et al 2018), and organization-public (Xu 2019). Rusbult (1980) proposed the commitment model for illustrating the dependent relationship between human and natural environment.…”

Section: Commitment To the Environmentmentioning

confidence: 99%

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User’s willingness to pay for natural environment conservation and protection with commitment

Shen

Chen

2021

Landscape Ecol Eng

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Using the commitment model, this study examines the effects of satisfaction, alternative choices, and investment scale about the environment would predict users' environmental commitments. Furthermore, this study also investigated the relationship between the commitment to environment and the willingness to pay for the environmental conservation at the particular natural site. A survey was conducted at Yangmingshan National Park. The data were collected from April to July 2019. The findings of the analysis suggested that satisfaction and investment scale had the significantly positive effects on the commitment to the environment; but the alternative choices had the significantly negative relationship with the commitment. However, the level of environmental commitment failed to predict the willingness to pay via the entrance fee for environment conservation and protection. The level of commitment did not mediate the effects of satisfaction, alternative choices, and investment scale in the environment on the willingness to pay more for the national park, which will require refinement in future research.

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Application of Relationship Investment Model in Predicting Student Engagement towards HEIs

Cited by 14 publications

References 59 publications

Understanding the real-time interaction between middle-aged consumers and online experts based on the COM-B model

Understanding the real-time interaction between middle-aged consumers and online experts based on the COM-B model

Curricular Analytics to Characterize Educational Trajectories in High-Failure Rate Courses That Lead to Late Dropout

User’s willingness to pay for natural environment conservation and protection with commitment

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