Chughtai, A.A. and Buckley, F., 2011. Work engagement: Antecedents, the mediating role of learning goal orientation and job performance. Career Development International.
Conceptualities Considered in the Article
There are various conceptualities have been considered in this article. However, there are seven terminologies which are most highlighted in it. The first conceptuality is based on “Work Engagement”, which refers to a person’s positive behaviour or the optimistic state of mind of an employee at work, which further leads to the generation of positive output. It is evident that employees with high levels of work engagement are expected to be more dedicated and energetic towards their work. The second conceptuality has to do with “Trust in the Supervisor”, as the name suggests, trust that an employee of an organisation places in the supervisor. “Trust Propensity” is the third conceptuality which refers to a person’s inclination, which is directed towards believing the trustworthiness of other people. “Learning Goal Orientation” is the fourth conceptuality discussed in this research paper, which refers to employees developing themselves by learning new skills, acquiring education, and improving their competence. “Job Performance” refers to the ability of the employees to do their jobs, whereas “Job Commitment” refers to the feeling of responsibility that an employee has regarding the mission or goal of the firm. The last conceptuality highlighted in this research paper is “Job Satisfaction”, which emphasises the feeling of fulfilment and enjoyment an employee gets from working in a particular organisation.
Biases or Assumptions
The only bias that has been felt throughout the research paper is solely based on the importance of work engagement and how every organisation should utilise or enhance this conceptuality to get the best out of its working functions. Various assumptions are involved in this research paper, which is solely directed towards which variables, such as state or trait, will be able to influence work engagement.
Findings
The findings which have been extracted from this research suggest the fact that the element of “Trust in the Supervisor” is strongly related to work engagement; this is mainly because having a positive trust in a supervisor can help massively when it comes to promoting work engagement with the utilisation of both relationship and character perspectives. The element of the Relationship-Based Perspective suggests the fact that when the workforce of the organisation knows that their supervisor cares about their well-being and values the output they are producing, they are more likely to be engaged in their work whilst showing more dedication, energy and enthusiasm. On the other hand, the terminology of character-based view suggests different traits of the supervisors like dependability, trustworthiness and integrity, which can help the employees to believe that it is the right man for the job, and they will be more directed towards contributing to that supervisor. Work engagement also has one of the most significant predictors, known as “Trust Propensity”, which is highlighted by this research; this is mainly because employees with a high level of trust propensity are expected to be more dedicated and absorptive in their working functions. The findings of this research were also following the previous research, which highlighted that elements like Emotional Stability, Conscientiousness and Extraversion can help influence work engagement.
Furthermore, the conceptuality of “Goal Orientation” can be utilised as a mediating factor between work engagement and two performance outcomes: in-role job performance and innovative work behaviour. Elements such as nurturing employee learning goal orientation can positively impact work engagement. Additionally, variables like state and trait trust can be utilised to augment the element of work engagement within the organisation. In simple words, the findings of this research paper showed that “Trust in Supervisor” and “Trust Propensity” are positively related to Work Engagement.
Types of Measures utilised.
The measure utilised for this research is solely based on the use of a cross-sectional survey study, where the data was acquired from 168 research scientists from six different Irish Science Research centres. The measure utilised to test the research hypothesis is “Structural Equation Modelling”, considered one of the most powerful and multivariate techniques primarily found in scientific investigations of testing and evaluating the multivariate casual relationship between different observed and latent variables. It involves examining a linear causal relationship between different variables alongside accounting for measurement errors.
Research Methodology used
The research methodology utilised in this research has to do with the element of Cross-sectional research Design and the usage of self-reported questionnaire data. The conceptuality of a Cross-sectional Study is a type of research design in which the researchers would gather data from different sources at a single time. The significant thing about using this type of research design is that the researcher would observe different variables without influencing them in any way. This type of research is mostly considered when a researcher would want to examine the prevalence of a certain outcome at some moment in time, which has been the situation with this research, which aims to explore the effects of state or trait on work engagement. The self-reported questionnaire is a type of survey, poll or questionnaire that the researcher reads in the form of different questions and then picks a response without any external influence. This method is mainly directed towards a person’s feelings, attitudes and beliefs. Since this article is primarily based on primary data gathered from different scientists, it is based on their findings, assumptions, feelings, beliefs or biasness. This type of data is very easy to acquire compared to other techniques.
Authors or research relied upon
This research has relied on 168 scientists for all the data acquired using a cross-sectional study survey. The author who has been most highlighted in the whole research is Bakker A.B.
