A comparative analysis of value management practices between consumer and construction based firms
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Author(s)Vitalis Ndu ,Emmanuel AgbaezeLink to ORCID Index: https://orcid.org/0000-0002-8952-7612
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Emmanuel Arisi-Nwugballa
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Henry OkwoLink to ORCID Index: https://orcid.org/0000-0002-4994-8199
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DOIhttp://dx.doi.org/10.21511/ppm.17(3).2019.23
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Article InfoVolume 17 2019, Issue #3, pp. 280-292
- 792 Views
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201 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The use of value management tools in non-management and non-business domains appears to be high, as exemplified by numerous studies conducted on the subject matter in the construction based disciplines, but understanding how such essential tool works in the consumer based domains seems lacking, this study becomes relevant in this regard. The aim of the study therefore is to understand how consumer based and construction based firms differ with regard to the use, focus and control of value management on a firm-by-firm basis, locational basis and on the basis of industrial typology. The researchers adopted a survey research design using a 16-item questionnaire instrument administered to 509 respondents across 10 firms: 5 being consumer and the other 5 being construction based firms. The formulated hypotheses were tested using Kruskal-Wallis and Mann Whitney’s U-test for non-parametric comparisons. The results obtained showed that consumer based firms ranked higher than construction based firms, both on a firm-by-firm (CSB = 256.9, CTB = 247.4, ; CSB=264.6, CTB = 234.3, ) for focus and control, respectively, and on an industrial type (CSB = 267.65, CTB = 235.93, ; CSB = 268.71, CTB = 234.33, ; CSB = 269.21, CTB = 233.58, ; CSB = 268.38, CTB = 234.83, ) comparison basis on actual usage, perceived usage, focus and control of value management, respectively. For the locational difference, there were no statistical significance. The study concludes that there is a case for a multidisciplinary study of value management as it appears more present in consumer than construction based firms.
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JEL Classification (Paper profile tab)L23, L70, L67, M11
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References36
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Tables8
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Figures6
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- Figure 1. “Focus level” mean rank by Firm type
- Figure 2. “Level of control” mean rank by firm type
- Figure 3. “Actual use” mean rank by industry type
- Figure 4. “Perceived usage” mean rank by industry type
- Figure 5. “Focus level” mean rank by industry type
- Figure 6. “Level of control” mean rank by industry type
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- Table 1. Descriptive statistics on the collation of question items based on firm type
- Table 2. Mean rank of value management practices per firm
- Table 3. Kruskal-Wallis H result on group difference
- Table 4. Descriptive statistics on the collation of question items based on firm location
- Table 5. Kruskal-Wallis H result on group difference
- Table 6. Descriptive statistics on the collation of question items based on industry type
- Table 7. Mean rank of value management practices per firm industrial type
- Table 8. Mann-Whitney U result on group difference
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Impact of demographic characteristics of personnel on the quality of employee relationships: The case of Poland
Dawid Szostek 
doi: http://dx.doi.org/10.21511/ppm.19(1).2021.01
Problems and Perspectives in Management Volume 19, 2021 Issue #1 pp. 1-12 Views: 1122 Downloads: 530 TO CITE АНОТАЦІЯThis research paper fills a significant gap in the literature in the field of the influence of demographic characteristics of employees on the quality of interpersonal relationships at work (QR). There are no comprehensive research results concerning this problem. The research objective is to describe how selected characteristics of employees (sex, age, education, type of job, and length of service) influence QR. This goal was achieved through the use of survey methods (online, direct and auditory) conducted in 2018 and 2019 on the sample of 1,336 active employees in Poland. The data was analyzed using IBM SPSS Statistics application. The findings prove that the quality of interpersonal relationships at work is differentiated by sex (men tend to rate the quality of relationships higher as compared to women), age (respondents belonging to younger groups tend to rate the quality of relationships higher as compared to older respondents), education (respondents with higher education tend to rate the quality of relationships higher as compared to less educated respondents), and type of job (managers tend to rate the quality of relationships higher as compared to the blue-collar workers). It was not possible to determine explicit trends in assessing the quality of relationships depending on the term of work. According to obtained results, special attention should be paid to the following categories of staff: women, older, less educated and blue-collar employees.
