Most Valid and Convincing Data Collection and Analysis.
The research methods section of Chuang et al (2015) begins on page 483 and is Qualitative study. The researchers collected data by Interview method by studying 30 Chinese informants demonstrating a varied range of industries, job ranks, occupations, and demographics. Their data analysis proceeded in stages as they sought to identify the theoretical categories of the PE (Person-Environment) fit. There were two stages wherein the objective of the first stage was to recognize major PE fit themes based on the episodes collected. Further, the second stage aimed to recognize first and second-order codes within each theme.
The research methods section of Afshari et al (2020) begins on page 777 where they explain their research design as being Mixed-method. It facilitated the scholar to contribute to a detailed depiction, and understanding of, commitment development of informants. Their data analysis was of two types named as quantitative and qualitative data analysis. The quantitative study was aimed at identifying the participants related with to the assurance profiles that have been linked to anticipated corporate results. Cluster analysis has been performed to analyze the data. On the contrary, the qualitative methodology was performed as a second stage that aimed at providing an empirically learnt and contextualized inspection of the interaction between corporate commitment and identification. Inductive approach was chosen for analyzing the themes from the interview transcript. Further, an iterative hermeneutical approach was used to analyze qualitative data.
The similarities of the research methods used by Chuang et al (2015) and Afshari et al (2020) are that they both utilized the interview method as the means of data collection in their study. Furthermore, both of the scholars adopted the method of thematic and coding for data analysis of qualitative study that means from the interview transcripts. Additionally, they both adopted the technology software named as NVIVO in their data analysis stage.
The differences between the researches methods of both scholars can be seen as Chuang et al (2015) conducted just the qualitative study to explore the research question. Contrarily, the study by Afshari et al (2020) conducted both the quantitative and qualitative study by utilizing the mixed-method research design. In the study by Chuang et al (2015), the diverse sample has been chosen as respondents while the latter study selected 470 people as respondents from a Australian company recognized as manufacturing establishment in 1974.
The data gathering conducted by Afshari et al (2020) is more rigorous and impressive because they have chosen to use the mixed-method approach to data collection that made use of both qualitative and quantitative data. It utilized both the survey questionnaire method using clustering approach and interview method to collect the responses. The use of this approach enabled the scholar to have a thorough analysis of depiction, and comprehending of commitment expansion of respondents. It further facilitated them to form on current literature and discover commitment profiles via expanding their exploration. It can be said that mixed-method data collection methodology in research is much impressive as it refers to the design for collecting, assessing, and mixing both quantitative and qualitative data in a single study to comprehend the study problem (Venkatesh Brown & Sullivan, 2016). Furthermore, it is true to say that this approach to data gathering offers the precise measurement along with the generalizability of quantitative study and the complete portrait of qualitative study.
The analysis of data presented in the Afshari et al (2020) article is more insightful and valid because their study analyzed both the quantitative and qualitative data that was presented in simplified manner to understand the outcomes. Furthermore, quantitative data has been analyzed using the two-step cluster analysis process in a tabular form. Besides, the qualitative data were analyzed using NVIVO software to analyze the themes, develop the first-order, and second-order themes. This approach provided a testes and valid data analysis for the particular study. Furthermore, the use of a mixed-method research design boosted the validity and insightfulness of the entire study (Imran & Yusoff, 2015).
The board of a company’s main concerns is likely to be improving the decision-making of the managers so the findings presented by Afshari et al (2020) are likely to be seen by the board as having most practical value because those findings established that both the structural identity and practiced identity are certainly associated with the growth of company commitment. As far as the practical value of study findings is concerned, it suggested that HR (human resource) professionals can create an energetic identification procedure by reinforcing feelings of administrative identity and evolving a positive corporate image. Furthermore, it is the principal study to incorporate mixed-method to find out association between structural commitment and identification procedure. It can be said that their study have inferences both for the policy and forthcoming project implementation. It also assists the human resource managers to comprehend the workers’ long term commitment. Moreover, they can even direct managers to identify how workers recognize with their work, company, and profession through their level of sled that reinforce the structural identity feelings. Besides, the research findings in their study have more practical value because the scholars have undertaken an analytical approach to data collection and analysis (Moser & Korstjens, 2018). Additionally, the better understanding of the research problem has been obtained via triangulating one set of results with another and hence improving the validity of implications and findings (Molina-Azorin, 2016). They also utilized a holistic triangulation approach to analysis of interview and survey data that confirms a higher level of validity in the findings of their study. Triangulation indicated to an influential strategy or tool that enables validation of data through cross authentication from more than two sources (Honorene, 2017).
Afshari, L. Young, S. Gibson, P. and Karimi, L. (2020) “Organizational commitment: exploring the role of identity” Personnel Review Vol. 49 No. 3, 2020 pp. 774-790
Chuang, A. Hsu, R. Want, A. and Judge, T. (2015) Does West ‘fit’ with East? In search of a Chinese model of person-environment fit Academy of Management Journal 2015, Vol. 58, No. 2, 480–510.
Honorene, J. (2017). Understanding the role of triangulation in research. Scholarly research journal for interdisciplinary studies, 4(31), 91-95.
Imran, A., & Yusoff, R. M. (2015). Empirical validation of qualitative data: A mixed-method approach. International Journal of Economics and Financial Issues, 5(1S).
Molina-Azorin, J. F. (2016). Mixed methods research: An opportunity to improve our studies and our research skills. European Journal Of Management And Business Economics, 25(2), 37-38
Moser, A., & Korstjens, I. (2018). Series: Practical guidance to qualitative research. Part 3: Sampling, data collection and analysis. European Journal of General Practice, 24(1), 9-18.
Venkatesh, V., Brown, S. A., & Sullivan, Y. W. (2016). Guidelines for conducting mixed-methods research: An extension and illustration. Journal of the Association for Information Systems, 17(7), 2.
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