The Effect of Inter-Supplier Rivalry Practices on the Performance of Motor Vehicle Assembly Companies in Kenya

Authors

  • Robert Wamalwa Wandera
  • Prof. Gregory Simiyu Namusonge
  • Prof. Maurice Matendechere Sakwa

DOI:

https://doi.org/10.47672/ajscm.1255

Keywords:

Inter-supplier rivalry practices, Organizational performance, Relational marketing supply chain, multi-sourcing, Motor vehicle assembly companies

Abstract

Purpose: The study explored the effect of Inter-supplier rivalry practices on the performance of motor vehicle assembly companies in Kenya.

Methodology: This study was guided by industrial marketing and purchasing (IMP) theory. The study applied a cross-sectional exploratory descriptive conclusive survey research design with a mixed approach of qualitative and quantitative research. Primary data was derived using questionnaires, supported by secondary data as the main instrument for collecting data based on a five point likert scale on 24 motor vehicle assembly companies in Kenya using non probability sampling. Exploratory factor analysis, analysis of mean, model summary, ANOVA and regression analysis were applied in analyzing, interpreting data and deriving the econometric model.

Findings: The study established that inter-supplier rivalry practices were a significant predictor of organizational performance of motor vehicle assembly companies in Kenya. These results through hierarchical regression established that inter-supplier rivalry practices of price competition, innovations, customer focus influence organizational performance of motor vehicle assembly companies in Kenya.

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Author Biographies

Robert Wamalwa Wandera

Ph.D. Candidate, Jomo Kenyatta University of Agriculture and Technology

Prof. Gregory Simiyu Namusonge

Senior Lecturer, Jomo Kenyatta University of Agriculture and Technology

Prof. Maurice Matendechere Sakwa

Senior Lecturer, Jomo Kenyatta University of Agriculture and Technology

References

Ayiro Laban P. (2021). A functional approach to educational research methods and statistics: Qualitative, quantitative, and mixed methods approaches, Edwin Mellen Pr, ISBN-13: 978-0773429017, ISBN-10: 0773429018

Bhattacharya, Shantanu; Gupta, Alok., & Hasija, Sameer. Single sourcing versus Multisourcing: The roles of output verifiability on task modularity. (2018). MIS Quarterly. vol.42, no. 4, Pp. 1171-1186. Research Collection Lee Kong Chian School Of Business. DOI: https://ink.library.smu.edu.sg/lkcsb_research/6399

Bomett Miriam, Wambua Jackson & Chebet Faith. (2020). Kenya automotive sector profile-2020, Kenya association of manufacturers

Braeken, J., & Van Assen, M. A. (2017). An empirical Kaiser criterion. Psychological methods, vol.22, no.3, Pp.450-466. DOI:https://doi.org/10.1037/met0000074

Brintrup Alexandra, Ledwoch Anna., & Barros Jose. (2016). Topological robustness of the global automotive industry, Logistics research springer journals, (2016, vol.9, no. 1, DOI:https://doi.org/10.1007/s 12159-015-0128-1

Creswell., & Clark (2017) Research design: Qualitative, quantitative and mixed methods approach, (4th ed), Sage Publications, Inc

Dudovskiy John. (2018). The ultimate guide to writing a dissertation in business studies: A step-by-step assistance, Rajendra, New Dehli, India, e-book

Ellram, L.M., Tate, W.L., & Feitzinger, E.G. (2013). Factor-market rivalry and competition for supply chain resources, Journal of supply chain management, vol. 49,no. 1, Pp. 29-46.

Fan, Y.,& Stevenson, M. (2018). A review of supply chain risk management: definition, theory, and research agenda, International journal of physical distribution & logistics management, vol.48, no.3, Pp.205-230, DOI: https://doi.org/10.1108/IJPDLM-01-2017-0043

Fathi Abolfazl.,& Ahmadian Sahar.(2016).Competitiveness of the Iran automotive industry for entrancing into foreign markets, Procedia economics and finance,vol.36, (2016),Pp.29-41,1st International conference on applied economics and Business,ICAEB 2015,DOI:http:// dx.doi.org/www.sciencedirect.com

Goretzko, D., Pham, T.T.H., & Bühner, M. (2019). Exploratory factor analysis: Current use, methodological developments and recommendations for good practice. Current psychology (2019), DOI:https://doi.org/10.1007/s12144-019-00300-2

Gujarati Damodar, N., Porter Dawn C., & Gunasekar Sangeetha. (2017). Basic econometrics, (5th ed.), Tata McGraw-Hill Education Pvt. ltd

Hesping, F.H., & Schiele, H. (2016).Matching tactical sourcing levers with the KraljiÄ matrix: Empirical evidence on purchasing portfolios, International journal of production economics, vol.177, Pp.101-117.

Kaufmann Lutz, Esslinger Jens.,& Carter Craig R . (2018). Toward relationship resilience: Managing buyer"induced breaches of psychological contracts during joint buyer-supplier projects, Journal pf supply chain management, vol.54, no. 4,Pp.62-85, DOI:https://doi.org/10.1111/jscm.12181

Kharub, M., & Sharma, R. (2017). Comparative analyses of competitive advantage using Porter diamond model (the case of MSMEs in Himachal Pradesh), Competitiveness review, vol.27, no.2, Pp.132-160, DOI: https://doi.org/10.1108/CR-02-2016-0007

Kim J H. (2019). Multicollinearity and misleading statistical results, Korean j Anaesthesiol.2019;72 (6): Pp.558-569, DOI: https://doi.org/:10.4097/kja.19087

Kissell Robert., & Poserina Jim. (2017). Optimal sports math, statistics, and fantasy, London, Academic Press, ISBN: 9780128052938 0128052937

Kotlarsky J., Willcocks L.P., & Oshri I. (Eds.) .(2011). Global sourcing 2011, LNBIP 91, Pp. 1-20, 2011. Springer-Verlag Berlin Heidelberg 2011

Kotler Philip T., & Armstrong Gary. (2018). Principles of marketing, (17th ed.), Pearson publishers, ISBN-13: 9780134642321

Koyuncu İlhan., & Kılıç Abdullah Faruk. (2019). The use of exploratory and confirmatory factor analyses: A document analysis, Education and science, vol 44 (2019), no. 198, Pp. 361-388

Krancher, Oliver., &Stürmer, Matthias. (2018). Explaining multi-sourcing decisions in application outsourcing, 26th European conference on information systems (ECIS2018), Portsmouth, UK, 2018

Kyriazos, T. A. (2018). Applied psychometrics: The 3-faced construct validation method, a routine for evaluating a factor structure. Psychology, 9, Pp.2044-2072, DOI:https://doi.org/10.4236/psych.2018.98117

Lamprecht Norman., & Tolmay Aletta Sophia. (2017).Performance of South African automotive exports under the African Growth and opportunity act from 2001-2015, International business & economics research journal-second quarter 2017, vol.16, no.2

Lelissa T B. (2018). Research methodology; University of South Africa, Ph.D Thesis,Method December 2018, DOI:http://doi.org/10.13140/RG.2.2.21467.62242

Lo, F.-Y., & Tan, R. (2019). Determinants of international subsidiaries' performances: A multi-level perspective of the subsidiary and parent company, International journal of emerging markets, vol. 15 no. 4, Pp. 746-766, DOI: https://doi.org/10.1108/IJOEM-06-2019-0445

Loehlin John. C., & Beaujin Alexander. A. (2017). Latent variable models. An introduction to factor, path and structural equation analysis (5th ed), Taylor and Francis Group

Lorenzo-Seva, U., & Van Ginkel, J. R. (2016). Multiple imputations of missing values in exploratory factor analysis of multidimensional scales: Estimating latent trait scores. Anales De Psicología/ Annals of Psychology, vol.32, no.2, Pp. 596-608, DOI:https://doi.org/10.6018/analesps.32.2.215161

Makhitha K. M., & Wright Len Tiu. (2019). Supplier relationship marketing practices and smallretailer performance in South Africa, Cogent business & management vol.6, 2019- no. 1

Maskey Reenu, Fei Jiangang & Nguyen Hong-Oanh. (2018). Use of exploratory factor analysis in maritime research, The Asian journal of shipping and logistics, vol. 34, no.2, Pp. 091-111: www .elsevier.com/locate/ajsl

Masoumi Maryam S, Kazemi Nima., & Abdul-Rashid Salwa Hanim.(2019).Sustainable supply chain management in the automotive industry: A process-oriented review, Sustainability 2019,11,3945; DOI:https://doi.org/10.3390/su11143945

Mikko Ketokivi., & Mahoney Joseph T.(2020). Transaction cost economics as a theory of supply chain efficiency, Production and operations management journal, Wiley online library, vol. 29, no.4, April 2020, Pp. 1011-1031

Morgan Susan, Reichert Tom., & Harrison Tyler R. (2016).From numbers to words: Reporting statistical results for the social sciences, Routledge, DOI:https://doi.org/10.4324/9781315638010

Morsy Hebatollah Mohamed.(2017).Buyer-supplier relationships and power position: Interchaning, international journal of supply and operations management, volume 4, Issue 1, Pp.33- 52, ISSN-Print: 2383-1359, IJSOM, February 2017,ISSN-Online:2383-2525,DOI:http:// dx.doi.org/www.ijsom.com

Oshri, I. (2011). Offshoring strategies: Evolving captive centre models. The MIT Press, Cambridge (2011)

Pituch Keenan A., & Stevens James P. (2016). Applied multivariate statistics for the Social sciences analyses with SAS and IBM"˜s SPSS (6th ed), Routledge Publishers

Qamar Amir, Mark Hall.A., & Collinson Simon. (2018). Lean versus agile production: flexibility trade-offs within the automotive supply chain, International journal of production research,vol.56,no.11,Pp.3974-3993,DOI:http:// dx.doi.org/10.1080/00207543.2018.1463109

Ralston Peter, LeMay Steve., & Opengart Rose. (2017). Factor market myopia: A driver of factor market rivalry, Transportation Journal, vol. 56, no. 2 (Spring 2017), Pp.167-183, Published by: Penn State University Press, DOI:https://doi.org/10.5325/transportationj.56.2.0167, https://www.jstor.org/stable/10.5325/transportationj.56.2.0167

Ravichandran T. (2018). Exploring the relationships between IT competence, innovation capacity and organizational agility, Journal of strategic information systems, vol.27, Pp.22-42,DOI:http://dx.doi.org/10.1016/j.jsis.2017.07.002

Ryan Gemma, (2018). Introduction to positivism, interpretivism, and critical theory. Nurse Researcher, vol. 25, no.4, Pp. 41-49.

Şahin Ezgi, Çemberci Murat, Mustafa Emre Civelek.,& Uca Nagehan.(2017). The role of agility in the effect of trust in the supply chain on firm performance, Management studies, July-Aug. 2017, vol.5, no.4, Pp.336-345, DOI:https://dx.doi.org/:10.17265/2328-2185/2017.04.008

Sakuramoto, C., Di Serio, L., & Bittar, A. (2019). Impact of the supply chain on the competitiveness of the automotive industry, RAUSP management journal, vol.54, no.2, Pp.205-225. DOI:https://doi.org/10.1108/RAUSP-07-2018-0051

Saunders Mark, Lewis Philip.,& Thornhill Adrian. (2016). Research methods for business students, (7th ed), L.E.G.O. S.p.A

Schiavo, G., Korzenowski, A.L., Soares Batista, E.R., Souza, D.L.d., & Scavarda, A. (2018). Customers' quality demands as directions to the cold chicken supply chain management, Business process management journal, vol. 24 no. 3, Pp. 771-785, DOI: https://doi.org/10.1108/BPMJ-11-2016-0224

Schumacker, R. E., & Lomax, R. G. (2015). A Beginner's guide to structural equation modeling (4th ed.), Routledge.

Sharmelly R., & Ray K. (2016). Organizational capabilities for mass-market innovations in the emerging economies: Insights from an automobile firm in India, Journal of comparative international management, vol.18, no.1

Steve Evans, Vladimirova Doroteya, Maria Holgado, Kirsten Van Fossen, Miying Yang, Silva Elisabete A.,& Barlow Claire Y.(2017).Business model innovation for sustainability: Towards a unified perspective for creation of sustainable business models, Business strategy and the environment,vol.26, issue 5, July 2017, Pp.597-608, DOI:https://doi.org/10.1002/bse.1939

Suh, C., & Kim, J. (2018). Buyers' switching intentions in a manufacturing supply chain: a migration theory perspective, International journal of operations & production management, vol. 38, no. 12, Pp. 2246-2265, DOI:https://doi.org/10.1108/IJOPM-02-2017-0118

Tabachnick, Barbara. G., & Fidell, Linda. S. (2019). Using multivariate statistics (7th ed.), Pearson Publishers.

Tambade, H., Singh, R., & Modgil, S. (2019). Identification and evaluation of determinants of competitiveness in the Indian auto-component industry, Benchmarking: An International Journal, vol. 26 no.3, Pp.922-950. DOI:http://dx.doi.org/https:/10.1108/BIJ-09-2017-0260

Teece David. J. (2018). Business models and dynamic capabilities, Long-range planning, vol.51, pp. 40-49,DOI:http://dx.doi.org/www.sciencedirect.com, http://www.elsevier.com/locate/lrp

Tsagrisa Michail., & Pandis Nikolaos . (2021). A normality test: Is it really necessary? American Journal of Orthodontics and Dentofacial Orthopedics, Vol. 159, no.4, DOI: https://doi.org/10.1016/j.ajodo.2021.01.003

Tuan Luu Trong. (2016). Organizational ambidexterity and supply chain agility: The mediating role of external knowledge sharing and moderating role of competitive intelligence. International journal of logistics research and applications, vol 19, 2016- Issue 6, DOI:https://doi.org/10.1080/13675567.2015.1137278

Warne Russell T., & Larsen Ross. (2014). Evaluating a proposed modification of the Guttman rule for determining the number of factors in exploratory factor analysis, Psychological test and assessment modeling, vol. 56, no.1, Pp.104-123

Wilhelm, M.M., Blome, C., Bhakoo, V., & Paulraj, A. (2016).Sustainability in multi-tier supply chains: Understanding the double agency role of tier-one suppliers, Journal of operations management, vol. 41,no. 1, Pp. 42-60.

Xiao, C., Petkova, B., Molleman, E., & Van der Vaart, T. (2019).Technology uncertainty in supply chains and supplier involvement: the role of resource dependence, Supply Chain Management, vol. 24,no. 6, Pp.697-709, DOI:https://doi.org/10.1108/SCM-10-2017-0334.

Xin Chen. (2017). Operational hedging through dual-sourcing under capacity uncertainty, vol. xx, no. xx, Pp.1-16,DOI:https://doi.org/:10.1561/XXXXXXXXX

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Published

2022-10-28

How to Cite

Wandera, R. W. ., Namusonge, G. S. ., & Sakwa, M. M. . (2022). The Effect of Inter-Supplier Rivalry Practices on the Performance of Motor Vehicle Assembly Companies in Kenya. American Journal of Supply Chain Management, 7(1), 42–60. https://doi.org/10.47672/ajscm.1255