Business Management in the Information Age: Use of Systems, Data Processing and Scalability for Organizational Efficiency

Karla Martell; Rosa Cueto-Orbe; Santiago Luis Vela-del-Aguila; Julio Iván Torres-Manrique; Karen Reátegui-Villacorta; César Augusto Alejandría-Castro

doi:10.4108/eetsis.5408

Authors

Karla Martell Universidad Nacional Autónoma de Alto Amazonas
Rosa Cueto-Orbe Universidad Nacional Autónoma de Alto Amazonas https://orcid.org/0000-0003-0563-3176
Santiago Luis Vela-del-Aguila Universidad Nacional Autónoma de Alto Amazonas https://orcid.org/0000-0001-6874-6528
Julio Iván Torres-Manrique Universidad Nacional Autónoma de Alto Amazonas https://orcid.org/0000-0002-8959-8023
Karen Reátegui-Villacorta Universidad Nacional de San Martín https://orcid.org/0000-0003-2308-9979
César Augusto Alejandría-Castro Universidad Nacional de San Martín https://orcid.org/0000-0003-2637-082X

DOI:

https://doi.org/10.4108/eetsis.5408

Keywords:

Cybersecurity, Information Age, Scalability, Business Management, Digital Transformation

Abstract

Abstract: This article reviews the challenges and opportunities facing companies in business management in the era of information. Challenges in managing large volumes of data, emerging trends in cybersecurity, and companies' ability to adapt to the digitalized environment are analyzed. The methodology used includes an exhaustive search of articles in indexed journals and the application of inclusion criteria to select 50 relevant articles. Key findings include obstacles in data management, the increasing sophistication of cyber threats, and business adaptation strategies such as digital transformation and the integration of emerging technologies. In conclusion, the importance of addressing these challenges and leveraging the opportunities presented by technology to enhance business efficiency and competitiveness is highlighted.

References

A. R. Santos, “The Importance of Artificial Intelligence in Start-up, Automation, and Scalation of Business for Entrepreneurs,” Int. J. Appl. Eng. Technol., vol. 4, no. 3, 2022, [Online]. Available: https://romanpub.com/resources/ijaet v4-3-2022-01.pdf.

B. Chidozie, A. Ramos, J. Ferreira, and L. P. Ferreira, “The Importance of Digital Transformation (5.0) in Supply Chain Optimization: An Empirical Study,” Prod. Eng. Arch., vol. 30, no. 1, pp. 127–135, Mar. 2024, doi: 10.30657/pea.2024.30.12.

M. Hammad et al., “Security Framework for Network-Based Manufacturing Systems with Personalized Customization: An Industry 4.0 Approach,” Sensors, vol. 23, no. 17, p. 7555, Aug. 2023, doi: 10.3390/s23177555.

C. J. P. Arimana-Pinto, M. del P. Huamani-Maldonado, and A. A. Pacheco-Pumaleque, “Sistema web de gestión de pedidos para distribuidora del rubro farmacéutico que adopta Cross Docking,” Rev. científica Sist. e informática, vol. 4, no. 1, p. e624, Jan. 2024, doi: 10.51252/rcsi.v4i1.624.

R. C. Álvarez Diez et al., “Economía plateada y emprendimiento, un área innovadora de futuro: Un marco de referencia académico, científico y empresarial para la construcción de nuevos conocimientos,” Iberoam. J. Sci. Meas. Commun., vol. 2, no. 3, Dec. 2022, doi: 10.47909/ijsmc.45.

B. J. L. Torres and H. M. Bautista, “SENTIK: Web module for the systematization of information in social networks analysis,” AWARI, vol. 4, Dec. 2023, doi: 10.47909/awari.49.

A. Ahmad, S. B. Maynard, K. C. Desouza, J. Kotsias, M. T. Whitty, and R. L. Baskerville, “How can organizations develop situation awareness for incident response: A case study of management practice,” Comput. Secur., vol. 101, p. 102122, Feb. 2021, doi: 10.1016/j.cose.2020.102122.

A. P. Salgado-Reyes and R. Rodríguez-Aguilar, “Profile of the Business Science Professional for the Industry 4.0,” 2022, pp. 820–831.

Y. Y. G. López-López, N. G. Pérez-Martínez, V. H. B. García, and F. de M. G. Martínez, “Organizational Resilience: 30 years of intellectual structure and future perspectives,” Iberoam. J. Sci. Meas. Commun., vol. 2, no. 2, Jun. 2022, doi: 10.47909/ijsmc.37.

P. V. Benito, “Autonomous management in contemporary art territory (Argentina 2001-2015). A methodological proposal from the possibilities of the ARS,” AWARI, vol. 1, no. 2, p. e017, Dec. 2020, doi: 10.47909/awari.78.

T. von Leipzig et al., “Initialising Customer-orientated Digital Transformation in Enterprises,” Procedia Manuf., vol. 8, pp. 517–524, 2017, doi: 10.1016/j.promfg.2017.02.066.

L. Cai, S. Lu, and B. Chen, “Constructing Technology Commercialization Capability,” J. Organ. End User Comput., vol. 34, no. 9, pp. 1–21, May 2022, doi: 10.4018/JOEUC.303677.

C. Perales-Domínguez, J. E. Sánchez-Calle, D. Lévano-Rodriguez, and K. Gallegos-Carrillo, “Metodologías para la construcción de soluciones de inteligencia de negocios,” 2024.

H. C. P. Vasquez, “Importance of 3D presentation in the consumer’s purchase intention,” DecisionTech Review, vol. 2, 2022.

J. O. Akande and S. O. Atiku, “Developing Industry 4.0 accountants: implications for higher education institutions in Namibia,” Dev. Learn. Organ. An Int. J., vol. 36, no. 5, pp. 16–19, Aug. 2022, doi: 10.1108/DLO-09-2021-0177.

R. Álvarez-Diez and J. R. López-Robles, “Scientific mapping and research trends in the fields of business strategy and competitiveness,” Iberoam. J. Sci. Meas. Commun., vol. 2, no. 2, Jun. 2022, doi: 10.47909/ijsmc.142.

A. Kargas, E. Gialeris, F. Komisopoulos, A. Lymperiou, and I. Salmon, “Digital Maturity and Digital Transformation Strategy among Greek Small and Medium Enterprises,” Adm. Sci., vol. 13, no. 11, p. 236, Nov. 2023, doi: 10.3390/admsci13110236.

A. Cozzolino, G. Verona, and F. T. Rothaermel, “Unpacking the Disruption Process: New Technology, Business Models, and Incumbent Adaptation,” J. Manag. Stud., vol. 55, no. 7, pp. 1166–1202, Nov. 2018, doi: 10.1111/joms.12352.

M. Hader, D. Tchoffa, A. El Mhamedi, P. Ghodous, A. Dolgui, and A. Abouabdellah, “Applying integrated Blockchain and Big Data technologies to improve supply chain traceability and information sharing in the textile sector,” J. Ind. Inf. Integr., vol. 28, p. 100345, Jul. 2022, doi: 10.1016/j.jii.2022.100345.

X. Liu et al., “Cyber security threats: A never-ending challenge for e-commerce,” Front. Psychol., vol. 13, Oct. 2022, doi: 10.3389/fpsyg.2022.927398.

X. Ye and M. Jonilo, “Unleashing the Power of Big Data: Designing a Robust Business Intelligence Framework for E-commerce Data Analytics,” J. Inf. Syst. Eng. Manag., vol. 8, no. 3, p. 22638, Nov. 2023, doi: 10.55267/iadt.07.13946.

A. C. Picalho and E. R. De Oliveira Lucas, “‘I have read and accept the terms of use’: User assistance initiatives in the midst of what may be one of the biggest lies on the internet,” AWARI, vol. 3, May 2022, doi: 10.47909/awari.152.

J. Butt, “A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0,” Designs, vol. 4, no. 2, p. 11, May 2020, doi: 10.3390/designs4020011.

J. Villa-Soto, “Methods for the prevention of computer crimes in organizations: A review,” DecisionTech Review, vol. 2, 2022.

T. J. Pettit, K. L. Croxton, and J. Fiksel, “The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience,” J. Bus. Logist., vol. 40, no. 1, pp. 56–65, Mar. 2019, doi: 10.1111/jbl.12202.

Berlilana, T. Noparumpa, A. Ruangkanjanases, T. Hariguna, and Sarmini, “Organization Benefit as an Outcome of Organizational Security Adoption: The Role of Cyber Security Readiness and Technology Readiness,” Sustainability, vol. 13, no. 24, p. 13761, Dec. 2021, doi: 10.3390/su132413761.

M. Hsu, B. Martin, S. Ahmed, J. Torous, and J. Suzuki, “Smartphone Ownership, Smartphone Utilization, and Interest in Using Mental Health Apps to Address Substance Use Disorders: Literature Review and Cross-sectional Survey Study Across Two Sites,” JMIR Form. Res., vol. 6, no. 7, p. e38684, Jul. 2022, doi: 10.2196/38684.

I. S. Jiménez Hernández, R. Trejo Guardado, and C. E. Solís Gálvez, “Industrial clusters: A scientific review mapping,” Iberoam. J. Sci. Meas. Commun., vol. 2, no. 2, Jun. 2022, doi: 10.47909/ijsmc.143.

A. F. Panduro, “Technologies applied to information control in organizations: A review,” DecisionTech Review, vol. 3, pp. 1–6, Jun. 2023, [Online]. Available: https://dtr.pro-metrics.org/index.php/d/article/view/2.

A. Bobryshev, L. Chaykovskaya, V. Erokhin, and A. Ivolga, “Sustaining Growth or Boosting Profit: Accounting Tools under Process-Based Management in a Transition Economy,” J. Risk Financ. Manag., vol. 16, no. 2, p. 92, Feb. 2023, doi: 10.3390/jrfm16020092.

N. K. Gamboa Rosales, “Producción de hidrógeno y movilidad sostenible: Un enfoque bibliométrico para detectar temas de investigación, desarrollo e innovación,” Iberoam. J. Sci. Meas. Commun., vol. 3, Dec. 2023, doi: 10.47909/ijsmc.81.

E. W. T. Ngai, Y. Hu, Y. H. Wong, Y. Chen, and X. Sun, “The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature,” Decis. Support Syst., vol. 50, no. 3, pp. 559–569, Feb. 2011, doi: 10.1016/j.dss.2010.08.006.

A. Rachman, T. Zhang, and R. M. C. Ratnayake, “Applications of machine learning in pipeline integrity management: A state-of-the-art review,” Int. J. Press. Vessel. Pip., vol. 193, p. 104471, Oct. 2021, doi: 10.1016/j.ijpvp.2021.104471.

M. Z. Yaqub and A. Alsabban, “Industry-4.0-Enabled Digital Transformation: Prospects, Instruments, Challenges, and Implications for Business Strategies,” Sustainability, vol. 15, no. 11, p. 8553, May 2023, doi: 10.3390/su15118553.

R. T. Watson and J. Webster, “Analysing the past to prepare for the future: Writing a literature review a roadmap for release 2.0,” J. Decis. Syst., vol. 29, no. 3, pp. 129–147, Jul. 2020, doi: 10.1080/12460125.2020.1798591.

I. M. Enholm, E. Papagiannidis, P. Mikalef, and J. Krogstie, “Artificial Intelligence and Business Value: a Literature Review,” Inf. Syst. Front., vol. 24, no. 5, pp. 1709–1734, Oct. 2022, doi: 10.1007/s10796-021-10186-w.

D. Delchev and V. Lazarova, “Big Data Analysis Architecture,” Econ. Altern., vol. 27, no. 2, Jun. 2021, doi: 10.37075/EA.2021.2.09.

J. Gao and H. Yang, “Practical Application of Big Data Statistical Analysis Method for Enterprise Economic Management in Digital Era,” ICST Trans. Scalable Inf. Syst., Sep. 2023, doi: 10.4108/eetsis.3984.

J. Al-Karaki, D. Pavithran, and A. Gawanmeh, “Integrating Blockchain with Fog and Edge Computing for Micropayment Systems,” 2022, pp. 93–112.

K. A. Tarnowska, A. Bagavathi, and Z. W. Ras, “High-Performance Actionable Knowledge Miner for Boosting Business Revenue,” Appl. Sci., vol. 12, no. 23, p. 12393, Dec. 2022, doi: 10.3390/app122312393.

A. Koohang, C. S. Sargent, J. Z. Zhang, and A. Marotta, “Big data analytics: from leadership to firm performance,” Ind. Manag. Data Syst., vol. 123, no. 12, pp. 2976–2996, Dec. 2023, doi: 10.1108/IMDS-06-2023-0415.

C. Wu, “Data privacy: From transparency to fairness,” Technol. Soc., vol. 76, p. 102457, Mar. 2024, doi: 10.1016/j.techsoc.2024.102457.

J. Strycharz and C. M. Segijn, “Ethical side-effect of dataveillance in advertising: Impact of data collection, trust, privacy concerns and regulatory differences on chilling effects,” J. Bus. Res., vol. 173, p. 114490, Feb. 2024, doi: 10.1016/j.jbusres.2023.114490.

Z. Wang and Z. Chen, “Analysing the Causes and Implications of the Privacy Paradox: Consumer Surveillance and Online Data Collection,” Bull. Sci. Technol. Soc., vol. 43, no. 3–4, pp. 86–93, Dec. 2023, doi: 10.1177/02704676231220842.

B. Sampat, E. Mogaji, and N. P. Nguyen, “The dark side of FinTech in financial services: a qualitative enquiry into FinTech developers’ perspective,” Int. J. Bank Mark., vol. 42, no. 1, pp. 38–65, Jan. 2024, doi: 10.1108/IJBM-07-2022-0328.

R. Butori and C. Lancelot Miltgen, “A construal level theory approach to privacy protection: The conjoint impact of benefits and risks of information disclosure,” J. Bus. Res., vol. 168, p. 114205, Nov. 2023, doi: 10.1016/j.jbusres.2023.114205.

D. Laussel, N. Van Long, and J. Resende, “Profit Effects of Consumers’ Identity Management: A Dynamic Model,” Manage. Sci., vol. 69, no. 6, pp. 3602–3615, Jun. 2023, doi: 10.1287/mnsc.2022.4511.

D. Laussel, N. Van Long, and J. Resende, “Dynamic monopoly and consumers profiling accuracy,” J. Econ. Manag. Strateg., vol. 31, no. 3, pp. 579–608, Aug. 2022, doi: 10.1111/jems.12479.

G. Lăzăroiu, M. Bogdan, M. Geamănu, L. Hurloiu, L. Luminița, and R. Ștefănescu, “Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management,” Oeconomia Copernicana, vol. 14, no. 3, pp. 707–730, Sep. 2023, doi: 10.24136/oc.2023.021.

C.-H. Hsu, M.-G. Li, T.-Y. Zhang, A.-Y. Chang, S.-Z. Shangguan, and W.-L. Liu, “Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework,” Mathematics, vol. 10, no. 8, p. 1233, Apr. 2022, doi: 10.3390/math10081233.

K. Liu, S. Sun, G. Wu, W. Guo, S. Ji, and K. Li, “Power data sampling model based on multi-layer sensing and prediction,” Int. J. Emerg. Electr. Power Syst., vol. 24, no. 6, pp. 807–815, Dec. 2023, doi: 10.1515/ijeeps-2022-0211.

A. Al Adwan, “Can companies in digital marketing benefit from artificial intelligence in content creation?,” Int. J. Data Netw. Sci., vol. 8, no. 2, pp. 797–808, 2024, doi: 10.5267/j.ijdns.2023.12.024.

X. Sun, A. Ngueilbaye, K. Luo, Y. Cai, D. Wu, and J. Z. Huang, “A scalable and flexible basket analysis system for big transaction data in Spark,” Inf. Process. Manag., vol. 61, no. 2, p. 103577, Mar. 2024, doi: 10.1016/j.ipm.2023.103577.

J. Menzies, B. Sabert, R. Hassan, and P. K. Mensah, “Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice,” Thunderbird Int. Bus. Rev., Feb. 2024, doi: 10.1002/tie.22370.

L. Liu, W. Li, W. He, and J. Z. Zhang, “Improve enterprise knowledge management with internet of things: a case study from auto insurance industry,” Knowl. Manag. Res. Pract., vol. 20, no. 1, pp. 58–72, Jan. 2022, doi: 10.1080/14778238.2021.1970490.

M. Nilashi, S. Samad, B. Minaei-Bidgoli, F. Ghabban, and E. Supriyanto‬, “Online Reviews Analysis for Customer Segmentation through Dimensionality Reduction and Deep Learning Techniques,” Arab. J. Sci. Eng., vol. 46, no. 9, pp. 8697–8709, Sep. 2021, doi: 10.1007/s13369-021-05638-z.

A. Ashofteh and J. M. Bravo, “A conservative approach for online credit scoring,” Expert Syst. Appl., vol. 176, p. 114835, Aug. 2021, doi: 10.1016/j.eswa.2021.114835.

F. Wahab, I. Khan, Kamontip, T. Hussain, and A. Amir, “An investigation of cyber attack impact on consumers’ intention to purchase online,” Decis. Anal. J., vol. 8, p. 100297, Sep. 2023, doi: 10.1016/j.dajour.2023.100297.

A. Ahmad, K. C. Desouza, S. B. Maynard, H. Naseer, and R. L. Baskerville, “How integration of cyber security management and incident response enables organizational learning,” J. Assoc. Inf. Sci. Technol., vol. 71, no. 8, pp. 939–953, Aug. 2020, doi: 10.1002/asi.24311.

S. Hasan, M. Ali, S. Kurnia, and R. Thurasamy, “Evaluating the cyber security readiness of organizations and its influence on performance,” J. Inf. Secur. Appl., vol. 58, p. 102726, May 2021, doi: 10.1016/j.jisa.2020.102726.

S. Akhtar, P. A. Sheorey, S. Bhattacharya, and Ajith Kumar V. V., “Cyber Security Solutions for Businesses in Financial Services,” Int. J. Bus. Intell. Res., vol. 12, no. 1, pp. 82–97, Jan. 2021, doi: 10.4018/IJBIR.20210101.oa5.

L. Kaur and E. Rani, “Cloud computing’s emergence and associated security challenges,” 2022, p. 030004, doi: 10.1063/5.0108906.

M. Rachinger, R. Rauter, C. Müller, W. Vorraber, and E. Schirgi, “Digitalization and its influence on business model innovation,” J. Manuf. Technol. Manag., vol. 30, no. 8, pp. 1143–1160, Dec. 2019, doi: 10.1108/JMTM-01-2018-0020.

F. T. Abdul Hussien, A. M. S. Rahma, and H. B. Abdulwahab, “An E-Commerce Recommendation System Based on Dynamic Analysis of Customer Behavior,” Sustain. , vol. 13, no. 19, p. 10786, Sep. 2021, doi: 10.3390/SU131910786.

C. Hildebrand and A. Bergner, “AI-Driven Sales Automation: Using Chatbots to Boost Sales,” NIM Mark. Intell. Rev., vol. 11, no. 2, pp. 36–41, Nov. 2019, doi: 10.2478/nimmir-2019-0014.

C. L. Estevez, M. G. Bhat, and D. B. Bray, “Commodity chains, institutions, and domestic policies of organic and fair trade coffee in Bolivia,” Agroecol. Sustain. Food Syst., vol. 42, no. 3, pp. 299–327, Mar. 2018, doi: 10.1080/21683565.2017.1359737.

M. Chamboko-Mpotaringa and M. Chamboko-Mpotaringa, “Digital Trends and Tools Driving Change in Marketing Free State Tourism Destinations: A Stakeholder’s Perspective,” African J. Hosp. Tour. Leis., vol. 10, no. 10(6), pp. 1973–1984, Dec. 2021, doi: 10.46222/ajhtl.19770720.204.

M. Hessam, P. Hosseinpour, A. Vaezipour, and M. Mehravar, “Development of an Evidence-Based Progressive Web App to Promote Exercise Therapy and Telemonitoring for Individuals with Patello-Femoral Pain Syndrome: A Usability Study,” Shiraz E-Medical J., vol. 23, no. 12, Nov. 2022, doi: 10.5812/semj-126461.

U. Javed, K. Shaukat, I. A. Hameed, F. Iqbal, T. Mahboob Alam, and S. Luo, “A Review of Content-Based and Context-Based Recommendation Systems,” Int. J. Emerg. Technol. Learn., vol. 16, no. 03, p. 274, Feb. 2021, doi: 10.3991/ijet.v16i03.18851.

D. M. Coman et al., “Digitization of Accounting: The Premise of the Paradigm Shift of Role of the Professional Accountant,” Appl. Sci., vol. 12, no. 7, p. 3359, Mar. 2022, doi: 10.3390/app12073359.

L. Koh, G. Orzes, and F. (Jeff) Jia, “The fourth industrial revolution (Industry 4.0): technologies disruption on operations and supply chain management,” Int. J. Oper. Prod. Manag., vol. 39, no. 6/7/8, pp. 817–828, Dec. 2019, doi: 10.1108/IJOPM-08-2019-788.

N. Chen and Y. Yang, “The impact of customer experience on consumer purchase intention in cross-border E-commerce——Taking network structural embeddedness as mediator variable,” J. Retail. Consum. Serv., vol. 59, p. 102344, 2021, doi: https://doi.org/10.1016/j.jretconser.2020.102344.

M. Mihăescu, “Big Data and (the New?) Reality,” Am. Br. Can. Stud., vol. 41, no. 1, pp. 208–231, Dec. 2023, doi: 10.2478/abcsj-2023-0026.

S. Alimamy and J. Gnoth, “I want it my way! The effect of perceptions of personalization through augmented reality and online shopping on customer intentions to co-create value,” Comput. Human Behav., vol. 128, p. 107105, Mar. 2022, doi: 10.1016/j.chb.2021.107105.

E. Katsamakas and O. V. Pavlov, “Artificial Intelligence Feedback Loops in Mobile Platform Business Models,” Int. J. Wirel. Inf. Networks, vol. 29, no. 3, pp. 250–256, Sep. 2022, doi: 10.1007/s10776-022-00556-9.

G. Remané, S. Schneider, and A. Hanelt, “Digital Business Model Types: Understanding Their Mechanisms as Recipes To Commercialise Digital Technologies,” Int. J. Innov. Manag., vol. 26, no. 03, Apr. 2022, doi: 10.1142/S1363919622400199.

V. Corvello, A. M. Felicetti, S. Ammirato, C. Troise, and A. Ključnikov, “The rules of courtship: What drives a start-up to collaborate with a large company?,” Technol. Forecast. Soc. Change, vol. 200, p. 123092, Mar. 2024, doi: 10.1016/j.techfore.2023.123092.

F. Polidoro and C. Jacobs, “Knowledge diffusion in nascent industries: Asymmetries between startups and established firms in spurring inventions by other firms,” Strateg. Manag. J., Jan. 2024, doi: 10.1002/smj.3568.

J. G. Combs, D. J. Ketchen, S. A. Terjesen, and D. D. Bergh, “After the startup: A collection to spur research about entrepreneurial growth,” Strateg. Entrep. J., vol. 17, no. 3, pp. 693–709, Sep. 2023, doi: 10.1002/sej.1476.