INNOVATIVE VALUE CHAIN: SOLUTION TO ENHANCE COMPANY PERFORMANCE DURING COVID-19 PANDEMIC MCO IN SABAH

Authors

  • Sidah Idris Faculty of Business, Economics and Accountancy, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia
  • Nelson Lajuni Faculty of Business, Economics and Accountancy, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia
  • Al-Nasrie Weli Faculty of Business, Economics and Accountancy, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia
  • Siti Hajar Samsu Faculty of Business, Economics and Accountancy, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia
  • Charlie Albert Lasuin Faculty of Business, Economics and Accountancy, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia

DOI:

https://doi.org/10.51200/mjbe.vi.3660

Keywords:

adoption, innovative value chain, idea generation, idea conversion, diffusion of innovation

Abstract

When technology leaps forward, the internal “capability gap” between new technology requirements and what incumbent companies/industries can implement is often an issue. Misalignment between technology requirements and an organization’s ability to meet them can also exist outside a company’s boundaries. Digital adoption, especially among local companies are barely touching 20 per cent, and most manufacturing companies apply less than 50 per cent of automation. Malaysia has always scored among the highest in the region in terms of digital readiness, according to global surveys. Critical challenges include the lack of awareness, especially among local companies in terms of the impact of and benefits of keeping up with new technologies. It shows the level of technology usage is still very low within business operations especially in the supply chain that discourages the firm to digitalise their business. Thus, this study identified innovative value chain factors affecting company performance among local companies in Sabah particularly. This paper use Diffusion of Innovation (DoI) theory to introduce three variables that were proposed to help predict innovative value chain among local companies in Sabah namely: idea generation, idea conversion, and diffusion of innovation. This study employed a quantitative method approach by using a questionnaire as a tool to answer the study aims. Data was collected from local companies in Sabah regardless in manufacturing, services and agriculture industry was analysed using Structural Equation Modelling (SEM) via Partial Least Squares (PLS). The results and implications included in our study contribute to an expanded understanding of the innovation factors that influence company performance among local companies in Sabah.

Author Biography

Charlie Albert Lasuin, Faculty of Business, Economics and Accountancy, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia



References

Aizstrauta, D., Ginters, E., & Eroles, M. P. (2015).

Applying the theory of diffusion of

innovations to evaluate technology

acceptance and sustainability. Procedia

Computer Science, 43, 69 – 77. https://doi.

org/10.1016/j.procs.2014.12.010

Bai, X., Wu, J., Liu, Y., Xu, Y., & Yang, D. (2019). Exploring

the characteristics of 3D printing global

industry chain and value chain innovation

network. Information Development, 1 – 17.

https://doi.org/10.1177/0266666919884348

Bakar, Z. A., Yaacob, N. A., & Udin, Z. M. (2015).

Business continuity management factors

and organizational performance: a study

on the moderating role of its capability.

Journal of Management Info (JMI), 2 (3), 5 –

https://doi.org/10.31580/jmi.v7i1.38

Bonney, L., Clark, R., Collins, R., & Fearne, A. (2007).

From serendipity to sustainable competitive

advantage: Insights from Houston’s farm

and their journey of co-innovation. Supply

Chain Management: An International

Journal, 12 (6), 395 – 399. https://doi.

org/10.1108/13598540710826326

Brown, S. A., Venkatesh, V., & Hoehle, H. (2014).

Technology adoption decisions in the

household: A seven-model comparison.

Journal of the Association for Information

Science and Technology, 66 (9), 1933 – 1949.

https://doi.org/10.1002/asi.23305

Chang, H. C. (2010). A new perspective on Twitter

hashtag use: Diffusion of innovation theory.

Proceedings of the ASIST Annual Meeting.

https://doi.org/10.1002/meet.14504701295

Chen, L., Gillenson, M. L., & Sherrell, D. L. (2002).

Enticing online consumer and extended

technology acceptance perspective.

Information and Management, 39 (8), 705

– 719. https://doi.org/10.1016/S0378-

(01)00127-6

Chen, X., Liu, Z., & Zhu, Q. (2018). Performance

evaluation of China’s high-tech

innovation process: Analysis based on

the innovation value chain. Technovation,

–75, 42–53. https://doi.org/10.1016/j.

technovation.2018.02.009

Collins, J. D., Worthington, W. J., Reyes, P.

M., & Romero, M. (2010). Knowledge

management, supply chain technologies,

and firm performance. Management

Research Review, 33 (10), 947 – 960. https://

doi.org/10.1108/01409171011083969

Damanpour, F. (1991). Organizational innovation:

A meta-analysis of effects of determinants

and moderators. Academy of Management

Journal, 34 (3), 555 – 590. https://doi.

org/10.5465/256406

Deitz, G., Hansen, J., & Glenn Richey, R. (2009).

Coerced integration: The effects of retailer

supply chain technology mandates on

supplier stock returns. International

Journal of Physical Distribution and Logistics

Management, 39 (10), 814 – 825. https://doi.

org/10.1108/09600030911011423

Dong, J. Q., & Wu, W. (2015). Business value of

social media technologies: Evidence from

online user innovation communities.

Journal of Strategic Information Systems, 24

(2), 113 – 127. https://doi.org/10.1016/j.

jsis.2015.04.003

Faisal, S. M., & Idris, S. (2019). Determinant factors of

supply chain technology adoption among

Sabah small and medium enterprises (SMEs).

Malaysian Journal of Business and Economics,

(2), 63 – 76.

Faisal, S. M., & Idris, S. (2020). Innovation factors

influencing the supply chain technology

(SCT) adoption: Diffusion of innovation

theory. International Journal of Social Science

Research, 2 (2), 128 – 145.

Fornell, C., & Larcker, D. F. (1981). Evaluating Structural

Equation Models with Unobservable

Variables and Measurement Error. Journal of

Marketing Research, 18 (1), 39 – 50. https://

doi.org/10.1177/002224378101800104

Gefen, D., Straub, D., & Boudreau, M. C. (2000).

Structural equation modeling and

regression: Guidelines for research

practice. Communications of the Association

for Information Systems, 4. https://doi.

org/10.17705/1CAIS.00407

Goffin, K., & Mitchell, R. (2005). Innovation

management: Strategy and implementation

using the pentathlon framework. Palgrave

Macmillan.

Gunasekaran, A., & Ngai, E. W. T. (2004). Information

systems in supply chain integration

and management. European Journal of

Operational Research, 159 (2), 269 – 295.

https://doi.org/10.1016/j.ejor.2003.08.016

Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M.

(2016). A primer on partial least squares

structural equation modeling (PLS-SEM). Sage

Publications.

Hansen, M. T., & Birkinshaw, J. (2007). The innovation

value chain. Harvard Business Review, 85 (6),

– 13.

Hastings, K., Howieson, J., & Lawley, M. (2016).

Creating value chains: the role of relationship

development. British Food Journal, 118 (No.

, 1384 – 1406. https://doi.org/10.1108/BFJ-

-2015-0389

Helmerich, N., Raj-reichert, G., & Zajak, S. (2020).

Exercising associational and networked

power through the use of digital technology

by workers in global value chains.

Competition and Change, 25 (2), 142 – 166.

https://doi.org/10.1177/1024529420903289

Jadhav, V. V. (2015). Role of information technology

in supply chain management. International

Journal of Management Research and Review,

(6), 369 – 379.

Kamaruddin, N. K., & Udin, Z. M. (2009).

Supply chain technology adoption

in Malaysian automotive suppliers.

Journal of Manufacturing Technology

Management, 20 (3), 385 – 405. https://doi.

org/10.1108/17410380910936819

Lin, Y., Yeh, C. C., & Chen, W. (2018). The impact

of information system implement on

innovation value chain: A case study

of Solen Electric Company’s product

integration services. Proceedings of the 2nd

International Conference on E-Commerce,

E-Business and E-Government. https://doi.

org/10.1145/3234781.3234797

Matopoulos, A., Vlachopoulou, M., Manthou, V., &

Manos, B. (2007). A conceptual framework

for supply chain collaboration: empirical

evidence from the agri-food industry.

Supply Chain Management: An International

Journal, 12 (3), 177 – 186. https://doi.

org/10.1108/13598540710742491

Micu, A., Micu, A., & Capatina, A. (2009). Innovative

Analysis of a CRM Database using Online

Analytical Processing (OLAP) Technique in

Value Chain Management Approach. Recent

Advances in Computer Engineering, 10, 305 –

Mohamed Farid Noh. (2020). Peniaga dijangka

gulung tikar susulan kesuraman perniagaan

[Traders are expected to fold up following the

gloom of business]. My Metro. https://www.

hmetro.com.my/mutakhir/2020/10/633252/

peniaga-dijangka-gulung-tikar-susulankesuraman-

perniagaan-metrotv

Prime Minister’s Office of Malaysia. (2020). Teks

ucapan Pengumuman Lanjutan Moratorium

and Bantuan Bank Bersasar [Speech of the

Announcement of Extended Moratorium

and Targeted Bank Assistance. https://

www.pmo.gov.my/2020/07/teks-ucapanpengumuman-

lanjutan-moratoriumbantuan-

bank-bersasar/

Njoku, M. E., & Alexanda, K. (2015). Effective supply

chain management: a strategic tool for

profitability enhancement in the competitive

marketing environment. European Journal of

Business and Social Sciences, 3 (12), 90 – 112.

Porter, M. C. (1985). Competitive advantage: Creating

and sustaining superior performance. Free

Press.

Ramalho, T. S., Tarraco, E. L., Yokomizo, C. A., &

Bernardes, R. C. (2019). Analysis of the

innovation value chain in strategic projects

of the Brazilian Army. Revista de Gestao, 26

(4), 409 – 428. https://doi.org/10.1108/REGE-

-2019-0016

Rogers, E. M. (1962). Diffusion of innovations. Free

Press.

Rogers, E. M. (2003). Diffusion of innovations (5th

ed.). Free Press.

Roper, S., Du, J., & Love, J. H. (2006). The innovation

value chain. Birmingham (UK).

Roper, S., Du, J., & Love, J. H. (2008). Modelling the

innovation value chain. Research Policy,

, 961 – 977. https://doi.org/10.1016/j.

respol.2008.04.005

Slater, S. F., & Narver, J. C. (1994). Market orientation,

customer value, and superior performance.

Business Horizons, 37 (2), 22 – 28. https://doi.

org/10.1016/0007-6813(94)90029-9

Smit, J. (2014). The relationship between

Organizational Culture and Innovation.

th Annual Conference of the International

Information Management Association (IIMA).

Smit, J. (2015). The innovation value chain and

adaptability of organizations. Journal of

International Technology and Information

Management, 24 (3), 57 – 74.

Published

2021-12-31

How to Cite

Sidah Idris, Nelson Lajuni, Al-Nasrie Weli, Siti Hajar Samsu, & Charlie Albert Lasuin. (2021). INNOVATIVE VALUE CHAIN: SOLUTION TO ENHANCE COMPANY PERFORMANCE DURING COVID-19 PANDEMIC MCO IN SABAH. Malaysian Journal of Business and Economics (MJBE), 8(2), 15–26. https://doi.org/10.51200/mjbe.vi.3660
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