nach oben

Global Journal of Flexible Systems Management

Erschienen in:

03.08.2021 | Original Research

The Effect of Traceability System and Managerial Initiative on Indonesian Food Cold Chain Performance: A Covid-19 Pandemic Perspective

verfasst von: Ilyas Masudin, Anggi Ramadhani, Dian Palupi Restuputri, Ikhlasul Amallynda

Erschienen in: Global Journal of Flexible Systems Management | Ausgabe 4/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

This study aims to determine the effect of managerial initiatives on the adoption of traceability systems on food cold chain performance during the Covid-19 pandemic. Managerial initiatives are allegedly needed to improve the company's performance because it improves the traceability system in the supply chain. In addition, the effect of the traceability system adoption on the Indonesian food cold-chain performance during the Covid-19 pandemic is also discussed in this study. This study uses a quantitative approach and purposive sampling with a questionnaire research instrument obtained 250 statements of Indonesian consumers and retail employees. Partial least squares for structural equation modeling (PLS-SEM) were used to analyze latent variables' relationships. This study indicates that the traceability system has a significant effect on the performance of the food cold-chain during the Covid-19 pandemic. In addition, the adoption of electronic data exchange (EDI), radio frequency identification (RFID), and blockchain significantly impacted traceability systems during the Covid-19 pandemic. The managerial application of the initiative showed a positive and significant impact on the performance of the food cold-chain during the Covid-19 pandemic. However, the managerial initiative is not able to moderate the adoption of the traceability system.

Vorheriger Artikel Modified Total Interpretive Structural Modeling of Marketing Flexibility Factors for Indian Telecommunications Service Providers

Nächster Artikel Considerations Regarding Donation and Value Co-Creation in Times of COVID-19 Pandemic

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Abad, E., Palacio, F., Nuin, M., De Zarate, A. G., Juarros, A., Gómez, J. M., & Marco, S. (2009). RFID smart tag for traceability and cold chain monitoring of foods: Demonstration in an intercontinental fresh fish logistic chain. Journal of Food Engineering, 93(4), 394–399.CrossRef

Adamson, K. A., & Prion, S. (2013). Reliability: Measuring internal consistency using Cronbach’s α. Clinical Simulation in Nursing, 9(5), e179–e180.CrossRef

Aiello, G., La Scalia, G., & Micale, R. (2012). Simulation analysis of cold chain performance based on time–temperature data. Production Planning & Control, 23(6), 468–476.CrossRef

Aiyar, A., & Pingali, P. (2020). Pandemics and food systems-towards a proactive food safety approach to disease prevention & management. Food Security, 12(4), 749–756.CrossRef

Allen, M., & Yen, W. (2002). Introduction to measurement theory. 4 (printing). Waveland Press Inc.

Alwi, I. (2015). Kriteria empirik dalam menentukan ukuran sampel pada pengujian hipotesis statistika dan analisis butir. Formatif: Jurnal Ilmiah Pendidikan MIPA, 2(2), 140–148.

Aramyan, L. H., Lansink, A. G. O., Van Der Vorst, J. G., & Van Kooten, O. (2007). Performance measurement in agri-food supply chains: A case study. Supply Chain Management: An International Journal, 12(4), 304–315.CrossRef

Arikunto, S. (2006). Metodelogi penelitian. Yogyakarta: Bina Aksara.

Aung, M. M., & Chang, Y. S. (2014a). Temperature management for the quality assurance of a perishable food supply chain. Food Control, 40, 198–207.CrossRef

Aung, M. M., & Chang, Y. S. (2014b). Traceability in a food supply chain: Safety and quality perspectives. Food Control, 39, 172–184.CrossRef

Badia-Melis, R., Ruiz-Garcia, L., Garcia-Hierro, J., & Villalba, J. I. R. (2015). Refrigerated fruit storage monitoring combining two different wireless sensing technologies: RFID and WSN. Sensors, 15(3), 4781–4795.CrossRef

Baert, K., Van Huffel, X., Jacxsens, L., Berkvens, D., Diricks, H., Huyghebaert, A., & Uyttendaele, M. (2012). Measuring the perceived pressure and stakeholders’ response that may impact the status of the safety of the food chain in Belgium. Food Research International, 48(1), 257–264.CrossRef

Bartley, B., Gomibuchi, S., & Mann, R. (2007). Best practices in achieving a customer‐focused culture. Benchmarking: An International Journal, 14(4), 482–496. CrossRef

Bechini, A., Cimino, M. G., Lazzerini, B., Marcelloni, F., & Tomasi, A. (2005). A general framework for food traceability. Paper presented at the 2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops).

Bechini, A., Cimino, M. G., Marcelloni, F., & Tomasi, A. (2008). Patterns and technologies for enabling supply chain traceability through collaborative e-business. Information and Software Technology, 50(4), 342–359.CrossRef

Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588.CrossRef

Blanchard, C., Comm, C. L., & Mathaisel, D. F. (2008). Adding value to service providers: Benchmarking Wal-Mart. Benchmarking: An International Journal, 15(2), 166–177.CrossRef

Bogataj, M., Bogataj, L., & Vodopivec, R. (2005). Stability of perishable goods in cold logistic chains. International Journal of Production Economics, 93, 345–356.CrossRef

Bouzembrak, Y., Klüche, M., Gavai, A., & Marvin, H. J. (2019). Internet of Things in food safety: Literature review and a bibliometric analysis. Trends in Food Science & Technology, 94, 54–64.CrossRef

BPS. (2019). Badan Pusat Statistik. from http://www.bps.go.id/

Cao, Y., Jia, F., & Manogaran, G. (2019). Efficient traceability systems of steel products using blockchain-based industrial Internet of Things. IEEE Transactions on Industrial Informatics, 16(9), 6004–6012.CrossRef

Carullo, A., Corbellini, S., Parvis, M., & Vallan, A. (2008). A wireless sensor network for cold-chain monitoring. IEEE Transactions on Instrumentation and Measurement, 58(5), 1405–1411.CrossRef

Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155.CrossRef

Cohen, R., Allaby, C., Cumbaa, C., Fitzgerald, M., Ho, K., Hui, B., et al. (1998). What is initiative? User Modeling and User-Adapted Interaction, 8(3–4), 171–214.CrossRef

Cole, R., Stevenson, M., & Aitken, J. (2019). Blockchain technology: Implications for operations and supply chain management. Supply Chain Management: An International Journal, 24(4), 469–483.CrossRef

Collier, N., Fishwick, F., & Floyd, S. W. (2004). Managerial involvement and perceptions of strategy process. Long Range Planning, 37(1), 67–83.CrossRef

Capricorn Indonesia Consult, P. (2019). A cold chain study of Indonesia. In E. Kusano (Ed.), The cold chain for agri-food products in ASEAN (pp. 101–147). Jakarta: ERIA Research Project Report FY2018 ed.

Duclos, L. K., Vokurka, R. J., & Lummus, R. R. (2003). A conceptual model of supply chain flexibility. Industrial Management & Data Systems, 103(6), 446–456.CrossRef

Fiddes, L. K., & Yan, N. (2013). RFID tags for wireless electrochemical detection of volatile chemicals. Sensors and Actuators B: Chemical, 186, 817–823.CrossRef

Foraker, R. E., Lai, A. M., Kannampallil, T. G., Woeltje, K. F., Trolard, A. M., & Payne, P. R. (2020). Transmission dynamics: Data sharing in the COVID‐19 era. Learning Health Systems, e10235.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.CrossRef

Galbreath, J. (2006). Corporate social responsibility strategy: strategic options, global considerations. Corporate Governance: The international journal of business in society, 6(2), 175–187.CrossRef

Ganyani, T., Kremer, C., Chen, D., Torneri, A., Faes, C., Wallinga, J., & Hens, N. (2020). Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020. Eurosurveillance, 25(17), 2000257.CrossRef

Garg, L., Chukwu, E., Nasser, N., Chakraborty, C., & Garg, G. (2020). Anonymity preserving IoT-based COVID-19 and other infectious disease contact tracing model. IEEE Access, 8, 159402–159414.CrossRef

Ghozali, I. (2008). Structural equation modeling: Metode alternatif dengan partial least square (pls): Badan Penerbit Universitas Diponegoro.

Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol. 7): Upper Saddle River, NJ: Pearson.

Hair, J. F., Henseler, J., Dijkstra, T. K., & Sarstedt, M. (2014). Common beliefs and reality about partial least squares: comments on Rönkkö and Evermann.

Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage publications.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.CrossRef

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.CrossRef

Han, J., Zhang, X., He, S., & Jia, P. (2021). Can the coronavirus disease be transmitted from food? A review of evidence, risks, policies and knowledge gaps. Environmental Chemistry Letters, 19(1), 5–16.CrossRef

Hart, P., & Saunders, C. (1997). Power and trust: Critical factors in the adoption and use of electronic data interchange. Organization Science, 8(1), 23–42.CrossRef

Hill, C. A., & Scudder, G. D. (2002). The use of electronic data interchange for supply chain coordination in the food industry. Journal of Operations Management, 20(4), 375–387.CrossRef

Ho, H. J., Zhang, Z. X., Huang, Z., Aung, A. H., Lim, W.-Y., & Chow, A. (2020). Use of a real-time locating system for contact tracing of health care workers during the COVID-19 pandemic at an infectious disease center in Singapore: Validation study. Journal of Medical Internet Research, 22(5), e19437.

Hobbs, J. E. (2020). Food supply chains during the COVID-19 pandemic. Canadian Journal of Agricultural Economics/revue Canadienne D’agroeconomie, 68(2), 171–176.CrossRef

Hu, J., Zhang, X., Moga, L. M., & Neculita, M. (2013). Modeling and implementation of the vegetable supply chain traceability system. Food Control, 30(1), 341–353.CrossRef

Hu, L.-T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424.CrossRef

Huber, G. P. (2011). Organizations: Theory, design, future APA handbook of industrial and organizational psychology, Vol 1: Building and developing the organization. (pp. 117–160): American Psychological Association.

Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195–204.CrossRef

ILFA. (2020). Asosiasi Logistik dan Forwarder Indonesia., from http://www.ilfa.or.id/

Jedermann, R., Ruiz-Garcia, L., & Lang, W. (2009). Spatial temperature profiling by semi-passive RFID loggers for perishable food transportation. Computers and Electronics in Agriculture, 65(2), 145–154.CrossRef

Joshi, R., Banwet, D., & Shankar, R. (2011). A Delphi-AHP-TOPSIS based benchmarking framework for performance improvement of a cold chain. Expert Systems with Applications, 38(8), 10170–10182.CrossRef

Joshi, R., Banwet, D., Shankar, R., & Gandhi, J. (2012). Performance improvement of cold chain in an emerging economy. Production Planning & Control, 23(10–11), 817–836.CrossRef

Kärkkäinen, M. (2003). Increasing efficiency in the supply chain for short shelf life goods using RFID tagging. International Journal of Retail & Distribution Management, 31(10), 529–536.CrossRef

Khanagha, S., Volberda, H., & Oshri, I. (2017). Customer co-creation and exploration of emerging technologies: The mediating role of managerial attention and initiatives. Long Range Planning, 50(2), 221–242.CrossRef

Khoobiyan, M., Pooya, A., Tavakkoli, A., & Rahimnia, F. (2017). Taxonomy of manufacturing flexibility at manufacturing companies using imperialist competitive algorithms, support vector machines and hierarchical cluster analysis. Engineering, Technology & Applied Science Research, 7(2), 1559–1566.CrossRef

Kim, C., & Shin, K. (2019). A study on the measurement method of cold chain service quality using smart contract of Blockchain. The Journal of Society for e-Business Studies, 24(3), 1–18.CrossRef

Konsynski, B. R. (1993). Strategic control in the extended enterprise. IBM Systems Journal, 32(1), 111–142.CrossRef

Kumar, S., Luthra, S., & Haleem, A. (2013). Customer involvement in greening the supply chain: An interpretive structural modeling methodology. Journal of Industrial Engineering International, 9(1), 1–13.CrossRef

Kuo, J.-C., & Chen, M.-C. (2010). Developing an advanced multi-temperature joint distribution system for the food cold chain. Food Control, 21(4), 559–566.CrossRef

Lau, R. S. M. (1996). Strategic flexibility: A new reality for world-class manufacturing. SAM Advanced Management Journal, 61(2), 11.

Lewis, S. G., & Boyle, M. (2017). The expanding role of traceability in seafood: Tools and key initiatives. Journal of Food Science, 82(S1), A13–A21.CrossRef

Liao, P.-A., Chang, H.-H., & Chang, C.-Y. (2011). Why is the food traceability system unsuccessful in Taiwan? Empirical evidence from a national survey of fruit and vegetable farmers. Food Policy, 36(5), 686–693.CrossRef

Marbouh, D., Abbasi, T., Maasmi, F., Omar, I. A., Debe, M. S., Salah, K., et al. (2020). Blockchain for COVID-19: Review, opportunities, and a trusted tracking system. Arabian Journal for Science and Engineering, 45(12), 9895–9911.CrossRef

Martínez-Jurado, P. J., & Moyano-Fuentes, J. (2014). Lean management, supply chain management and sustainability: A literature review. Journal of Cleaner Production, 85, 134–150.CrossRef

Masudin, I., Aprilia, G. D., Nugraha, A., & Restuputri, D. P. (2021a). Impact of E-procurement adoption on company performance: Evidence from Indonesian manufacturing industry. Logistics, 5(1), 16.CrossRef

Masudin, I., Lau, E., Safitri, N. T., Restuputri, D. P., & Handayani, D. I. (2021b). The impact of the traceability of the information systems on humanitarian logistics performance: Case study of Indonesian relief logistics services. Cogent Business & Management, 8(1), 1906052.CrossRef

Masudin, I., & Safitri, N. T. (2020). Food cold chain in indonesia during the Covid-19 pandemic: A current situation and mitigation. Jurnal Rekayasa Sistem Industri, 9(2), 99–106.CrossRef

Masudin, I., Wastono, T., & Zulfikarijah, F. (2018). The effect of managerial intention and initiative on green supply chain management adoption in Indonesian manufacturing performance. Cogent Business & Management, 5(1), 1485212.CrossRef

Mc Carthy, U., Uysal, I., Badia-Melis, R., Mercier, S., O’Donnell, C., & Ktenioudaki, A. (2018). Global food security–Issues, challenges and technological solutions. Trends in Food Science & Technology, 77, 11–20.CrossRef

Mercier, S., Villeneuve, S., Mondor, M., & Uysal, I. (2017). Time–temperature management along the food cold chain: A review of recent developments. Comprehensive Reviews in Food Science and Food Safety, 16(4), 647–667.CrossRef

Montanari, R. (2008). Cold chain tracking: A managerial perspective. Trends in Food Science & Technology, 19(8), 425–431.CrossRef

Musa, A., & Dabo, A. A. A. (2016) A Review of RFID in Supply Chain Management: 2000–2015, Global Journal of Flexible Systems Management, 17(2), 189–228.CrossRef

Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C., et al. (2020). The socio-economic implications of the coronavirus and COVID-19 pandemic: A review. International Journal of Surgery, 78, 185–193.CrossRef

Nunnally, J. C. (1994). Psychometric theory 3E: Tata McGraw-hill education.

Nur, I., & Supomo, B. (2002). Metodologi Penelitian Bisnis untuk Akuntansi dan Manajemen. Edisi Kedua. BPEE.

Onoda, H. (2020). Smart approaches to waste management for post-COVID-19 smart cities in Japan. IET Smart Cities, 2(2), 89–94.CrossRef

Óskarsdóttir, K., & Oddsson, G. V. (2019). Towards a decision support framework for technologies used in cold supply chain traceability. Journal of Food Engineering, 240, 153–159.CrossRef

Otoom, M., Otoum, N., Alzubaidi, M. A., Etoom, Y., & Banihani, R. (2020). An IoT-based framework for early identification and monitoring of COVID-19 cases. Biomedical Signal Processing and Control, 62, 102149.

Pal, A., & Kant, K. (2019). Using blockchain for provenance and traceability in Internet of things-integrated food logistics. Computer, 52(12), 94–98.CrossRef

Paramita, W., Rostiani, R., Winahjoe, S., Wibowo, A., Virgosita, R., & Audita, H. (2021) Explaining the voluntary compliance to COVID-19 measures: An extrapolation on the gender perspective. Global Journal of Flexible Systems Management, 22(Suppl 1), S1–S18.CrossRef

Patil, M., & Suresh, M. (2019) Modelling the enablers of workforce agility in IoT projects: A TISM approach, Global Journal of Flexible Systems Management, 20(2), 157–175.CrossRef

Paul, S. K., & Chowdhury, P. (2020). Strategies for managing the impacts of disruptions during COVID-19: an example of toilet paper. Global Journal of Flexible Systems Management, 21(3), 283–293.CrossRef

Peterson, R. A., & Kim, Y. (2013). On the relationship between coefficient alpha and composite reliability. Journal of Applied Psychology, 98(1), 194.CrossRef

Plumier, B. M., & Maier, D. E. (2018). Sensitivity analysis of a fumigant movement and loss model for bulk stored grain to predict effects of environmental conditions and operational variables on fumigation efficacy. Journal of Stored Products Research, 78, 18–26.CrossRef

Pujihastuti, I. (2010). Prinsip penulisan kuesioner penelitian. CEFARS: Jurnal Agribisnis dan Pengembangan Wilayah, 2(1), 43–56.

Rajakumar, G., Kumar, T. A., Samuel, T., & Kumaran, E. M. (2018). Iot based milk monitoring system for detection of milk adulteration. International Journal of Pure and Applied Mathematics, 118(9), 21–32.

Rediers, H., Claes, M., Peeters, L., & Willems, K. A. (2009). Evaluation of the cold chain of fresh-cut endive from farmer to plate. Postharvest Biology and Technology, 51(2), 257–262.CrossRef

Restuputri, D. P., Indriani, T. R., & Masudin, I. (2021). The effect of logistic service quality on customer satisfaction and loyalty using Kansei engineering during the COVID-19 pandemic. Cogent Business & Management, 8(1), 1906492.CrossRef

Restuputri, D. P., Masudin, I., & Sari, C. P. (2020). Customers perception on logistics service quality using Kansei engineering: Empirical evidence from indonesian logistics providers. Cogent Business & Management, 7(1), 1751021.CrossRef

Reuter, C., Goebel, P., & Foerstl, K. (2012). The impact of stakeholder orientation on sustainability and cost prevalence in supplier selection decisions. Journal of Purchasing and Supply Management, 18(4), 270–281.CrossRef

Rizou, M., Galanakis, I. M., Aldawoud, T. M., & Galanakis, C. M. (2020). Safety of foods, food supply chain and environment within the COVID-19 pandemic. Trends in Food Science & Technology, 102, 293–299.CrossRef

Rowley, J., & Slack, F. (2004). Conducting a literature review. Management Research News, 27(6), 31–39.CrossRef

Ruiz-Garcia, L., Barreiro, P., & Robla, J. (2008). Performance of ZigBee-based wireless sensor nodes for real-time monitoring of fruit logistics. Journal of Food Engineering, 87(3), 405–415.CrossRef

Ruiz-Garcia, L., Barreiro, P., Robla, J. I., & Lunadei, L. (2010). Testing ZigBee motes for monitoring refrigerated vegetable transportation under real conditions. Sensors, 10(5), 4968–4982.CrossRef

Sahin, E., Dallery, Y., & Gershwin, S. (2002). Performance evaluation of a traceability system. An application to the radio frequency identification technology. Paper presented at the IEEE International Conference on Systems, Man and Cybernetics.

Sarkis, J., Cohen, M. J., Dewick, P., & Schröder, P. (2020). A brave new world: Lessons from the COVID-19 pandemic for transitioning to sustainable supply and production. Resources, Conservation, and Recycling, 159, 104894.CrossRef

Scala, S., & McGrath, R., Jr. (1993). Advantages and disadvantages of electronic data interchange an industry perspective. Information & Management, 25(2), 85–91.CrossRef

Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia & Analgesia, 126(5), 1763–1768.CrossRef

Shabani, A., Torabipourv, S. M. R., & Saen, R. F. (2015). A new super-efficiency dual-role FDH procedure: An application in dairy cold chain for vehicle selection. International Journal of Shipping and Transport Logistics, 7(4), 426–456.CrossRef

Sharma, S., & Pai, S. S. (2015). Analysis of operating effectiveness of a cold chain model using Bayesian networks. Business Process Management Journal, 21(4), 722–742.CrossRef

Shashi, S., Cerchione, R., Singh, R., Centobelli, P., & Shabani, A. (2018). Food cold chain management. The International Journal of Logistics Management, 29(3), 792–821.CrossRef

Shukor, A. A. A., Newaz, M. S., Rahman, M. K., & Taha, A. Z. (2020). Supply chain integration and its impact on supply chain agility and organizational flexibility in manufacturing firms. International Journal of Emerging Markets, https://doi.org/10.1108/IJOEM-04-2020-0418.CrossRef

Sousa, R., Yeung, A. C., & Cheng, T. (2008). Customer heterogeneity in operational e-service design attributes. International Journal of Operations & Production Management, 28(7), 592–614.CrossRef

Streiner, D. L. (2003). Starting at the beginning: An introduction to coefficient alpha and internal consistency. Journal of Personality Assessment, 80(1), 99–103.CrossRef

Sugiyono, P. (2013). Statistik untuk Penelitian. CV. Alvabeta Bandung.

Tam, L. T., Ho, H. X., Nguyen, D. P., Elias, A., & Le, A. N. H. (2021). Receptivity of Governmental Communication and Its Effectiveness During COVID-19 Pandemic Emergency in Vietnam: A Qualitative Study. Global Journal of Flexible Systems Management, 22(Suppl 1), S45–S64.CrossRef

Tenenhaus, M., Vinzi, V. E., Chatelin, Y.-M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159–205.CrossRef

Thompson, C. B. (2009). Descriptive data analysis. Air Medical Journal, 28(2), 56–59.CrossRef

Tian, F. (2016). An agri-food supply chain traceability system for China based on RFID & blockchain technology. Paper presented at the 2016 13th international conference on service systems and service management (ICSSSM).

Tobing, B. (2015). Food supply chain., from https://supplychainindonesia.com/wp-content/files/Rantai_Pasok_Pangan1.pdf

Tsang, Y. P., Choy, K. L., Wu, C.-H., Ho, G. T., Lam, C. H., & Koo, P. (2018). An Internet of Things (IoT)-based risk monitoring system for managing cold supply chain risks. Industrial Management & Data Systems, 118(7), 1432–1462.CrossRef

Ufua, D. E., Osabuohien, E., Ogbari, M. E., Falola, H. O., Okoh, E. E., & Lakhani, A. (2021) Re-Strategising government palliative support systems in tackling the challenges of COVID-19 lockdown in Lagos State, Nigeria. Global Journal of Flexible Systems Management, 22(Suppl 1), S19–S32.CrossRef

van der Weerdt, N. P., Volberda, H. W., Verwaal, E., & Stienstra, M. (2012). Organizing for flexibility: addressing dynamic capabilities and organization design Collaborative Communities of firms (pp. 105–125). Springer.

Vergara, I. G. P., Gómez, M. C. L., Martínez, I. L., & Hernández, J. V. (2021). Strategies for the preservation of service levels in the inventory management during COVID-19: A case study in company of biosafety products. Global Journal of Flexible Systems Management, 22(Suppl 1), S65–S80.CrossRef

Volberda, H. W. (1996). Toward the flexible form: How to remain vital in hypercompetitive environments. Organization Science, 7(4), 359–374.CrossRef

Volberda, H. W. (2003). Strategic flexibility creating dynamic competitive advantages. The Oxford handbook of strategy.

Walton, S. V., & Marucheck, A. S. (1997). The relationship between EDI and supplier reliability. International Journal of Purchasing and Materials Management, 33(2), 30–35.CrossRef

Wang, X., Li, D., & O’brien, C. (2009). Optimisation of traceability and operations planning: An integrated model for perishable food production. International Journal of Production Research, 47(11), 2865–2886.CrossRef

Webster, J. (1995). Networks of collaboration or conflict? Electronic data interchange and power in the supply chain. The Journal of Strategic Information Systems, 4(1), 31–42.CrossRef

Wiersinga, W. J., Rhodes, A., Cheng, A. C., Peacock, S. J., & Prescott, H. C. (2020). Pathophysiology, transmission, diagnosis, and treatment of coronavirus disease 2019 (COVID-19): A review. JAMA, 324(8), 782–793.CrossRef

Winter, S. G. (2003). Understanding dynamic capabilities. Strategic Management Journal, 24(10), 991–995.CrossRef

Wu, J.-Y., & Hsiao, H.-I. (2020). Food quality and safety risk diagnosis in the food cold chain through failure mode and effect analysis. Food Control, 120, 107501.CrossRef

Zollo, M., & Winter, S. G. (2002). Deliberate learning and the evolution of dynamic capabilities. Organization Science, 13(3), 339–351.CrossRef

Zou, Z., Chen, Q., Uysal, I., & Zheng, L. (2014). Radio frequency identification enabled wireless sensing for intelligent food logistics. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 372(2017), 20130313.CrossRef

Titel: The Effect of Traceability System and Managerial Initiative on Indonesian Food Cold Chain Performance: A Covid-19 Pandemic Perspective
verfasst von: Ilyas Masudin
Anggi Ramadhani
Dian Palupi Restuputri
Ikhlasul Amallynda
Publikationsdatum: 03.08.2021
Verlag: Springer India
Erschienen in: Global Journal of Flexible Systems Management / Ausgabe 4/2021
Print ISSN: 0972-2696
Elektronische ISSN: 0974-0198
DOI: https://doi.org/10.1007/s40171-021-00281-x

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 4/2021

Modelling the Service Experience Encounters Using User-Generated Content: A Text Mining Approach

Proposed Mathematical Model to Study and Analyze the Relationship Between Operational Flexibility Dimensions and Hospital Performance

Considerations Regarding Donation and Value Co-Creation in Times of COVID-19 Pandemic

The Trajectory of Two Decades of Global Journal of Flexible Systems Management and Flexibility Research: A Bibliometric Analysis

Modified Total Interpretive Structural Modeling of Marketing Flexibility Factors for Indian Telecommunications Service Providers

Premium Partner