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
- 719 Views
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174 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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- Aghimien, D. O., Oke, A. E., & Aigbavboa, C. O. (2018). Barriers to the adoption of value management in developing countries. Engineering, Construction and Architectural Management, 25(7), 818-834.
- Amoush, K. H. (2015). The impact of employing brainstorming strategy on improving writing performance of english major students at Balqa applied university in Jordan. Journal of Education and Practice, 6(35), 88-92.
- Bowen, P. A., Edwards, P. J., & Cattell, K. (2009). Value management practice in South Africa : The built environment professions compared. Construction Management and Economics, 27(11), 1039-1057.
- Bowen, P., Cattell, K., Edwards, P., & Jay, I. (2010). Value management practice by South African quantity surveyors. Facilities, 28(1), 46-63.
- Charles, I., Nasiri, F., & Hammad, A. (2017). Evaluating the impact of value management and buildability assessment on construction project delivery.
- Curran, P. G. (2016). Methods for the detection of carelessly invalid responses in survey data. Journal of Experimental Social Psychology, 66, 4-19.
- Dhir, K. S. (1987). Formulating management policies for value engineering/value analysis. IEEE Transactions of Engineering Management, 34(3), 161-171.
- Douglas, A., & Lubbe, B. A. (2006). Identifying value conflicts between stakeholders in corporate travel management by applying the soft value management model : A survey in South Africa. Tourism Management, 27(6), 1130-1140.
- Dumond, E. J. (2000). Value management : An underlying framework. International Journal of Operations & Production Management, 20(9), 1062-1077.
- Ellis, R. C. T., Wood, G. D., & Keel, D. A. (2005). Value management practices of leading UK cost consultants. Construction Management and Economics, 23(5), 483-493.
- Fallon, C. (1961). Value engineering and product engineering. IRE Transactions on Product Engineering and Production, 5(2), 93-97.
- Feir-Walsh, B., & Toothaker, L. (1974). Assumptions homogeneity pendence. Educational and Psychological Measurement, 34(4), 789-799.
- Fong, P. S., Shen, Q., & Cheng, E. W. (2001). A framework for benchmarking the value management process. Benchmarking: An International Journal, 8(4), 306-316.
- Gillier, T., Hooge, S., & Piat, G. (2014). Framing value management for creative projects : An expansive perspective. International Journal of Project Management, 1-14.
- Green, S. D., & Liu, A. M. M. (2007). Theory and practice in value management: A reply to Ellis et al. (2005). Construction Management and Economics, 25(6), 649-659.
- Hashempour, Z., Rostampour, M., & Behjat, F. (2015). The effect of brainstorming as a pre-writing strategy on EFL advanced learners’ writing ability. Journal of Applied Linguistics and Language Research, 2(1), 86-99.
- Hayes, A. F. (2018). Introduction to mediation, moderation and conditional process analysis (2nd ed.). New York: Guilford Publishers.
- Hyatali, N., & Pun, K. F. (2015). Value Management in academic libraries : A case study value. The Journal of the Association of Professional Engineers of Trinidad and Tobago, 40(1), 26-33.
- Kassa, A. O. (2018). Value analysis and engineering reengineered (1st ed.). Florida, United States of America: CRC Press.
- Kearns, P. (2009). Strategic value measures and management tools. In HR Strategy (pp. 141-161).
- Kelly, J., & Male, S. (1993). Value management in design and construction (1st ed.). United Kingdom: E & FN Spon.
- Kelly, J., Male, S., & Graham, D. (2015). Value management of construction projects. In Value Management of Construction Projects (2nd ed.) (pp. 173-190). John Wiley & Sons, Ltd.
- Kissi, E., Boateng, E. B., & Badu, A.-K. (2016). Principal component analysis of challenges facing the implementation of value engineering in public projects in developing countries. International Journal of Construction Management, 17(2), 142-150.
- Latour, B. (2005). Reassembling the social: An introduction to actor-network-theory (1st ed.). Oxford: Oxford University Press.
- Leung, M., Ng, S. T., & Cheung, S. (2002). Improving satisfaction through conflict stimulation and resolution in value management in construction projects. Journal of Management in Engineering, 18, 68-75.
- Mann, H., & Whitney, D. (1947). On a test of whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics, 18(1), 50-60.
- Mcgeorge, D., & Angela, P. (2002). Construction management (2nd ed.). Oxford, United Kingdom: Blackwell Publishing Company.
- Oke, A. E., & Ogunsemi, D. R. (2011). Value Management in the Nigerian construction industry : Militating factors and the perceived benefits. In Second International Conference on Advances in Engineering and Technology (pp. 353-359).
- Oke, E. A., Aghimien, O. D., & Olatunji, O. S. (2015). Implementation of value management as an economic sustainability tool for building construction in Nigeria. International Journal of Managing Value and Supply Chains, 6(4), 55-64.
- Perera, S., Hayles, C. S., & Kerlin, S. (2011). An analysis of value management in practice: The case of Northern Ireland’s construction industry. Journal of Financial Management of Property and Construction, 16(2), 94-110.
- Spaulding, W. M., Bridge, A., & Skitmore, M. (2007). The use of function analysis as the basis of value management in the Australian construction industry. Construction Management and Economics, 23(7), 723-731.
- Strack, R., & Villis, U. (2002). RAVETM: Integrated value management for customer, human, supplier and invested capital. European Management Journal, 20(2), 147-158.
- Thangavelu, K., & Brunner, E. (2007). Wilcoxon-Mann-Whitney test for stratified samples and Efron’s paradox dice. Journal of Statistical Planning and Inference, 137(3), 720-737.
- Thiry, M. (2001). Sensemaking in value management practice. International Journal of Project Management, 19(2), 71-77.
- Verhoef, P. C., Doorn, J., & Dorotic, M. (2015). Customer value Management: An overview and research agenda. Marketing ZFP, 29(2), 105-122.
- Zhang, B., & Zhang, Y. (2009). Mann-Whitney U test and Kruskal-Wallis test should be used for comparisons of differences in medians, not means: Comment on the article by van der Helm-van Mil et al. Arthritis and Rheumatism, 60(5), 1565.
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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: 1027 Downloads: 510 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.
