Open Access Open Access  Restricted Access Subscription or Fee Access

Analysis of Supply Chain Information System Receiving with the Technology Acceptance Model


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/irea.v8i6.20038

Abstract


Supply chain management gets much convenience with developing information systems technology and information technology that occurs. A supply chain information system was been built to help supply chain actors in the apple agro-industry to collaborate. The application of an efficient and effective information system in the apple agro-industry supply chain is expected to improve the ability to share information between actors. The purpose of this study is to analyze the acceptance factors of information systems by the supply chain actors of the apple agro-industry. The research has been conducted at MSEs processed apples in the city of Batu, East Java, Indonesia. The Technology Acceptance Model has been used, with data collected from supply chain actors. The results have showed that the Perceived Ease of Use has an indirect effect on Actual System Usage. In contrast, the perceived usefulness has a positive direct impact on actual system usage.
Copyright © 2020 Praise Worthy Prize - All rights reserved.

Keywords


Supply Chain Information Systems; Micro and Small Enterprises; Technology Acceptance Model; Apple Agroindustry; Collaborate

Full Text:

PDF


References


V. N. Helia, V. I. Asri, E. Kusrini, and S. Miranda, Modified technology acceptance model for hospital information system evaluation – a case study, MATEC Web Conf., vol. 154, p. 01101, 2018.
https://doi.org/10.1051/matecconf/201815401101

What is PaaS? Platform as a Service|Microsoft Azure (accessed Nov. 24, 2020).

https://azure.microsoft.com/en-us/overview/what-is-paas/

F. D. Davis, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Q., vol. 13, no. 3, pp. 319–340, Sep. 1989.
https://doi.org/10.2307/249008

What is SaaS? Software as a Service | Microsoft Azure (accessed Nov. 24, 2020).

https://azure.microsoft.com/en-us/overview/what-is-saas/ .

H. Hill, Small and Medium Enterprises in Indonesia: Old Policy Challenges for a New Administration, Asian Survey, vol. 41, no. 2, pp. 248–270, 2001.
https://doi.org/10.1525/as.2001.41.2.248

M. Irjayanti and A. M. Azis, Barrier Factors and Potential Solutions for Indonesian SMEs, in Procedia Economics and Finance, Jan. 2012, vol. 4, pp. 3–12.
https://doi.org/10.1016/s2212-5671(12)00315-2

J. W. Moy and V. W. M. Luk, The Life Cycle Model as a Framework for Understanding Barriers to SME Growth in Hong Kong, Asia Pacific Business Review, vol. 10, no. 2, pp. 199–220, Dec. 2003.
https://doi.org/10.1080/13602380410001677218

D. Sukmayana, Building Competitive Advantages and Its Implications on Sales, Proceedings of the 1st International Conference on Economics, Business, Entrepreneurship, and Finance (ICEBEF 2018), May 2019, pp. 408–416.
https://doi.org/10.2991/icebef-18.2019.90

G. Skintzi, Supply chain design: an overview, Athens University of Economics and Business, 2007.

T. Nanda, H. Gupta, T. P. Singh, S. Kusi-Sarpong, C. J. C. Jabbour, and A. Cherri, An original framework for strategic technology development of small manufacturing enterprises in emerging economies, Benchmarking: An International Journal, vol. 27, no. 2, pp. 781–816, Jan. 2019.
https://doi.org/10.1108/bij-02-2019-0074

F. Sahin and E. P. Robinson, Flow Coordination and Information Sharing in Supply Chains: Review, Implications, and Directions for Future Research, Decision Sciences, vol. 33, no. 4, pp. 505–536, Jun. 2007.
https://doi.org/10.1111/j.1540-5915.2002.tb01654.x

D. Ojha, F. Sahin, J. Shockley, and S. V. Sridharan, Is there a performance tradeoff in managing order fulfillment and the bullwhip effect in supply chains? The role of information sharing and information type, International Journal of Production Economics, vol. 208, pp. 529–543, Feb. 2019.
https://doi.org/10.1016/j.ijpe.2018.12.021

C. Lin and M. Lin, The determinants of using cloud supply chain adoption, Industr Mngmnt & Data Systems, Aug. 2018.

S. S. Panigrahi, B. Bahinipati, and V. Jain, Sustainable supply chain management: A review of literature and implications for future research, Management of Environmental Quality: An International Journal, vol. 30, no. 5, pp. 1001–1049, Jan. 2019.
https://doi.org/10.1108/meq-01-2018-0003

H. Allaoui, Y. Guo, and J. Sarkis, Decision support for collaboration planning in sustainable supply chains, Journal of Cleaner Production, vol. 229, pp. 761–774, Aug. 2019.
https://doi.org/10.1016/j.jclepro.2019.04.367

A. Boiko, V. Shendryk, and O. Boiko, Information systems for supply chain management: uncertainties, risks and cyber security, Procedia Computer Science, vol. 149, pp. 65–70, Jan. 2019.
https://doi.org/10.1016/j.procs.2019.01.108

T. Zhang, How Do Information Technology Resources Facilitate Relational and Contractual Governance in Green Supply Chain Management?, Sustainability, vol. 11, no. 13, Art. no. 13, Jan. 2019.
https://doi.org/10.3390/su11133663

S. Yeniyurt, F. Wu, D. Kim, and S. T. Cavusgil, Information technology resources, innovativeness, and supply chain capabilities as drivers of business performance: A retrospective and future research directions, Industrial Marketing Management, vol. 79, pp. 46–52, May 2019.
https://doi.org/10.1016/j.indmarman.2019.03.008

R. Dehgani and N. Jafari Navimipour, The impact of information technology and communication systems on the agility of supply chain management systems, Kybernetes, vol. 48, no. 10, pp. 2217–2236, Jan. 2019.
https://doi.org/10.1108/k-10-2018-0532

Y. Agyabeng-Mensah, E. N. K. Ahenkorah, and E. Osei, Impact of Logistics Information Technology on Organisational Performance:Mediating Role of Supply Chain Integration and Customer Satisfaction, Journal of Supply Chain Management Systems, vol. 8, no. 4, Art. no. 4, Oct. 2019.

A. Tutuhatunewa, S. Surachman, P. B. Santoso, and I. Santoso, Influence of Information Sharing, Partnership, and Collaboration on Supply Chain Performance, Advances in Systems Science and Applications, vol. 19, no. 3, Art. no. 3, Sep. 2019.

M. Irfan, M. Wang, and N. Akhtar, Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view, Oper Manag Res, vol. 12, no. 3, pp. 113–128, Dec. 2019.
https://doi.org/10.1007/s12063-019-00142-y

V. Agrawal, S. K. Yadav, R. P. Mohanty, and A. M. Agrawal, Prioritizing the Enablers of Construction Supply Chain in the Industry 4.0 Environment, in Leadership Strategies for Global Supply Chain Management in Emerging Markets, IGI Global, 2020, pp. 147–172.
https://doi.org/10.4018/978-1-7998-2867-9.ch007

B. Mathur, S. Gupta, M. L. Meena, and G. S. Dangayach, Healthcare supply chain management: literature review and some issues, Journal of Advances in Management Research, vol. 15, no. 3, pp. 265–287, Jan. 2018.
https://doi.org/10.1108/jamr-09-2017-0090

D. Pattanayak and P. Punyatoya, Effect of supply chain technology internalization and e-procurement on supply chain performance, Business Process Management Journal, vol. 26, no. 6, pp. 1425–1442, Jan. 2019.
https://doi.org/10.1108/bpmj-04-2019-0150

S. Teka, Assessment of supply chain management practices - A case study on K O J J food processing complex PLC, Thesis, St. Mary’s University, 2019.

S. A. Asongu, J. C. Anyanwu, and V. S. Tchamyou, Technology-driven information sharing and conditional financial development in Africa, Information Technology for Development, vol. 25, no. 4, pp. 630–659, Oct. 2019.
https://doi.org/10.1080/02681102.2017.1311833

N. Afshan, S. Chatterjee, and P. Chhetri, Impact of information technology and relational aspect on supply chain collaboration leading to financial performance: A study in Indian context, Benchmarking: An International Journal, vol. 25, no. 7, pp. 2496–2511, Jan. 2018.
https://doi.org/10.1108/bij-09-2016-0142

C. Marinagi, C. Skourlas, and E. Galiotou, Advanced information technology solutions for implementing information sharing across supply chains, in Proceedings of the 22nd Pan-Hellenic Conference on Informatics, New York, NY, USA, Nov. 2018, pp. 99–102.
https://doi.org/10.1145/3291533.3291575

Y. Niu, The Impact of Information Technology on Supply Chain Performance: A Knowledge Management Perspective, Dissertation, The University of North Carolina, Charlotte, 2010.

M. Beig, M. H. Pourhasomi, and Y. Ghorbanzad, The Role of Information Technology and Customer Relation Management in the Supply Chain, Interdisciplinary Journal of Contemporary Research In Business, vol. 4, no. 8, p. 9, 2012.

A. K. Alsaad, K. J. Yousif, and M. N. AlJedaiah, Collaboration: the key to gain value from IT in supply chain, EuroMed Journal of Business, vol. 13, no. 2, pp. 214–235, Jan. 2018.
https://doi.org/10.1108/emjb-12-2017-0051

F. D. Davis, A technology acceptance model for empirically testing new end-user information systems: theory and results, Dissertation, Massachusetts Institute of Technology, 1985.

P. Legris, J. Ingham, and P. Collerette, Why do people use information technology? a critical review of the technology acceptance model, Inf. Manage., vol. 40, no. 3, pp. 191–204, Jan. 2003.
https://doi.org/10.1016/s0378-7206(01)00143-4

V. Venkatesh, Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model, Information Systems Research, vol. 11, no. 4, pp. 342–365, 2000.
https://doi.org/10.1287/isre.11.4.342.11872

M. Y. Yi and Y. Hwang, Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model, International Journal of Human-Computer Studies, vol. 59, no. 4, pp. 431–449, Oct. 2003.
https://doi.org/10.1016/s1071-5819(03)00114-9

I. Ajzen and M. Fishbein, Understanding Attitudes and Predicting Social Behavior. Prentice-Hall, 1980.

A. Silaban, The Integration of Technology Acceptance Model with the Uses and Gratification Theory toward the Intention to use Accounting Information Technology, QUALITY Access to Success, vol. 19, no. 165, pp. 143–149, 2018.

B. Wu and X. Chen, Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model, Computers in Human Behavior, vol. 67, pp. 221–232, Feb. 2017.
https://doi.org/10.1016/j.chb.2016.10.028

H. Rafique, A. O. Almagrabi, A. Shamim, F. Anwar, and A. K. Bashir, Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM), Computers & Education, vol. 145, p. 103732, Feb. 2020.
https://doi.org/10.1016/j.compedu.2019.103732

S. Koul, A. Eydgahi, S. Koul, and A. Eydgahi, Utilizing Technology Acceptance Model (TAM) for driverless car technology Adoption, Journal of technology management & innovation, vol. 13, no. 4, pp. 37–46, Dec. 2018.
https://doi.org/10.4067/s0718-27242018000400037

S. Min, K. K. F. So, and M. Jeong, Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model, Journal of Travel & Tourism Marketing, vol. 36, no. 7, pp. 770–783, Sep. 2019.
https://doi.org/10.1080/10548408.2018.1507866

H. Byun, W. Chiu, and J. Bae, Exploring the Adoption of Sports Brand Apps: An Application of the Modified Technology Acceptance Model, International Journal of Asian Business and Information Management, vol. 9, no. 1, pp. 52–65, Jan. 2018.
https://doi.org/10.4018/ijabim.2018010105

A. Revythi and N. Tselios, Extension of technology acceptance model by using system usability scale to assess behavioral intention to use e-learning, Educ Inf Technol, vol. 24, no. 4, pp. 2341–2355, Jul. 2019.
https://doi.org/10.1007/s10639-019-09869-4

A. Shukla and S. K. Sharma, Evaluating Consumers’ Adoption of Mobile Technology for Grocery Shopping: An Application of Technology Acceptance Model, Vision, vol. 22, no. 2, pp. 185–198, Jun. 2018.
https://doi.org/10.1177/0972262918766136


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize