Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » International Journal of Data and Network Science » The influence of social media, big data, and data mining on the evolution of organizational behavior: Empirical study in Jordanian telecommunication sector

Journals

  • IJIEC (747)
  • MSL (2643)
  • DSL (668)
  • CCL (508)
  • USCM (1092)
  • ESM (413)
  • AC (562)
  • JPM (271)
  • IJDS (912)
  • JFS (91)
  • HE (26)
  • SCI (26)

IJDS Volumes

    • Volume 1 (8)
      • Issue 1 (5)
      • Issue 2 (3)
    • Volume 2 (12)
      • Issue 1 (3)
      • Issue 2 (3)
      • Issue 3 (3)
      • Issue 4 (3)
    • Volume 3 (27)
      • Issue 1 (4)
      • Issue 2 (9)
      • Issue 3 (8)
      • Issue 4 (6)
    • Volume 4 (37)
      • Issue 1 (6)
      • Issue 2 (15)
      • Issue 3 (7)
      • Issue 4 (9)
    • Volume 5 (86)
      • Issue 1 (9)
      • Issue 2 (11)
      • Issue 3 (32)
      • Issue 4 (34)
    • Volume 6 (163)
      • Issue 1 (30)
      • Issue 2 (33)
      • Issue 3 (40)
      • Issue 4 (60)
    • Volume 7 (200)
      • Issue 1 (53)
      • Issue 2 (46)
      • Issue 3 (46)
      • Issue 4 (55)
    • Volume 8 (243)
      • Issue 1 (60)
      • Issue 2 (61)
      • Issue 3 (60)
      • Issue 4 (62)
    • Volume 9 (96)
      • Issue 1 (20)
      • Issue 2 (6)
      • Issue 3 (30)
      • Issue 4 (40)
    • Volume 10 (40)
      • Issue 1 (40)

Keywords

Supply chain management(166)
Jordan(161)
Vietnam(149)
Customer satisfaction(120)
Performance(113)
Supply chain(110)
Service quality(98)
Competitive advantage(95)
Tehran Stock Exchange(94)
SMEs(87)
optimization(86)
Trust(83)
Financial performance(83)
Sustainability(81)
TOPSIS(81)
Job satisfaction(80)
Factor analysis(78)
Social media(78)
Genetic Algorithm(77)
Knowledge Management(77)


» Show all keywords

Authors

Naser Azad(82)
Mohammad Reza Iravani(64)
Zeplin Jiwa Husada Tarigan(62)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(39)
Jumadil Saputra(36)
Dmaithan Almajali(36)
Muhammad Turki Alshurideh(35)
Barween Al Kurdi(32)
Ahmad Makui(32)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Mohammad Khodaei Valahzaghard(30)
Sautma Ronni Basana(29)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)
Haitham M. Alzoubi(27)


» Show all authors

Countries

Iran(2181)
Indonesia(1289)
Jordan(786)
India(786)
Vietnam(504)
Saudi Arabia(452)
Malaysia(441)
United Arab Emirates(220)
China(206)
Thailand(153)
United States(110)
Turkey(106)
Ukraine(104)
Egypt(98)
Canada(92)
Peru(88)
Pakistan(85)
United Kingdom(80)
Morocco(79)
Nigeria(78)


» Show all countries

International Journal of Data and Network Science

ISSN 2561-8156 (Online) - ISSN 2561-8148 (Print)
Quarterly Publication
Volume 8 Issue 3 pp. 1929-1940 , 2024

The influence of social media, big data, and data mining on the evolution of organizational behavior: Empirical study in Jordanian telecommunication sector Pages 1929-1940 Right click to download the paper Download PDF

Authors: Ayman Mansour, Faraj Harahsheh, Khalid W. Wazani, Mohammad khasawneh, Bassmah B. AlTaher

DOI: 10.5267/j.ijdns.2024.1.020

Keywords: Social Media, Big Data, Data Mining, Strategic Management, Organization Behavior

Abstract: The aim of this study was to evaluate the impact of social media, big data, and data mining on the development of organizational behavior within the telecommunications industry in Jordan. The main objective of this study was to investigate the effects of technological components on the alteration of organizational behavior in the communications sector of Jordan. To accomplish this objective, a thorough empirical investigation was undertaken, encompassing the collecting of data from key stakeholders within the telecommunications sector in Jordan. A sample size of 412 participants, encompassing people from diverse roles within the communications sector, was chosen for the purpose of this study. The participants' replies and perspectives were gathered via the administration of surveys and conducting interviews, resulting in a comprehensive data set suitable for analysis. This study investigated the intricate relationship between the utilization of social media, the application of big data analytics, and the implementation of data mining techniques in influencing the dynamics of organizational behavior. The study's results underscored the substantial impact that social media platforms have on communication patterns and collaboration within telecommunication firms. Furthermore, the utilization of big data analysis has emerged as a significant catalyst for the enhancement of informed decision-making processes, exerting influence on diverse facets of organizational behavior, including strategic planning, employee engagement, and customer interactions. Data mining techniques have been identified as having a crucial function in extracting significant patterns and trends from extensive datasets, hence helping to the improvement of organizational learning and adaptation. The research findings indicated that the incorporation of social media, big data, and data mining technologies had a beneficial effect on the development of organizational behavior within the telecommunications industry in Jordan. The findings underscore the importance for enterprises to proactively utilize these technologies to cultivate a work environment that is characterized by increased agility, responsiveness, and collaboration. This study provides significant contributions to the subject of organizational behavior by examining the impact of social media, big data, and data mining within the specific context of the telecommunication sector in Jordan. The research sheds light on the transformative consequences of these technological advancements. The consequences of these findings have broad relevance for organizational leaders, politicians, and researchers, serving as a basis for further investigations in the dynamic realm of technology-driven organizational behavior.

How to cite this paper
Mansour, A., Harahsheh, F., Wazani, K., khasawneh, M & AlTaher, B. (2024). The influence of social media, big data, and data mining on the evolution of organizational behavior: Empirical study in Jordanian telecommunication sector.International Journal of Data and Network Science, 8(3), 1929-1940.

Refrences
Al-Dmour, H., Saad, N., Basheer Amin, E., Al-Dmour, R., & Al-Dmour, A. (2023). The influence of the practices of big data analytics applications on bank performance: filed study. VINE Journal of Information and Knowledge Manage-ment Systems, 53(1), 119-141.
Ali, I., Balta, M., & Papadopoulos, T. (2023). Social media platforms and social enterprise: Bibliometric analysis and sys-tematic review. International Journal of Information Management, 69, 102510.
Ali, S. A. G., Al-Fayyadh, H. R. D., Mohammed, S. H., & Ahmed, S. R. (2022, June). A Descriptive Statistical Analysis of Overweight and Obesity Using Big Data. In 2022 International Congress on Human-Computer Interaction, Optimiza-tion and Robotic Applications (HORA) (pp. 1-6). IEEE.
Alnadawi, A. A., Abdulrahman, M., & Omran, F. (2022). Opportunities and Challenges of Applying Electronic Human Resources Management in Business Organizations an Applied Study in the Telecommunications Sector, Jor-dan. Digital Economy, Business Analytics, and Big Data Analytics Applications, 223-235.
Behrad, F., & Abadeh, M. S. (2022). An overview of deep learning methods for multimodal medical data mining. Expert Systems with Applications, 200, 117006.
Bernhard, P., Deschamps, M., & Zaccour, G. (2023). Large satellite constellations and space debris: Exploratory analysis of strategic management of the space commons. European Journal of Operational Research, 304(3), 1140-1157.
Bi, Z., Jin, Y., Maropoulos, P., Zhang, W. J., & Wang, L. (2023). Internet of things (IoT) and big data analytics (BDA) for digital manufacturing (DM). International Journal of Production Research, 61(12), 4004-4021.
Deepa, N., Pham, Q. V., Nguyen, D. C., Bhattacharya, S., Prabadevi, B., Gadekallu, T. R., ... & Pathirana, P. N. (2022). A survey on blockchain for big data: Approaches, opportunities, and future directions. Future Generation Computer Sys-tems, 131, 209-226.
Dess, G. G., McNamara, G., Eisner, A. B., & Sauerwald, S. (2024). Strategic management: Creating competitive ad-vantages. McGraw-Hill Education.
El Khatib, M., Hamidi, S., Al Ameeri, I., Al Zaabi, H., & Al Marqab, R. (2022). Digital disruption and big data in healthcare-opportunities and challenges. Clinico Economics and Outcomes Research, 563-574.
Fauzi, T. H., Harits, B., R Deni Muhammad Danial, D. M. D., & Kokom Komariah, K. K. (2022). Adaptive strategies of external environmental effects in digital entrepreneurship in the strategic management perspective. Academic Journal of Interdisciplinary Studies, 9(3), 38-45.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Graebner, M. E., Knott, A. M., Lieberman, M. B., & Mitchell, W. (2023). Empirical inquiry without hypotheses: A ques-tion‐driven, phenomenon‐based approach to strategic management research. Strategic Management Journal, 44(1), 3-10.
Gravina, N., Nastasi, J., Espericueta Luna, W., & Simmons, D. (2023). Instructional activities to enhance teaching organi-zational behavior management. Journal of Organizational Behavior Management, 1-17.
Grewatsch, S., Kennedy, S., & Bansal, P. (2023). Tackling wicked problems in strategic management with systems think-ing. Strategic Organization, 21(3), 721-732.
Guo, C., & Chen, J. (2023). Big data analytics in healthcare. In Knowledge Technology and Systems: Toward Establishing Knowledge Systems Science (pp. 27-70). Singapore: Springer Nature Singapore.
Gupta, S. K., Khang, A., Somani, P., Dixit, C. K., & Pathak, A. (2023). Data Mining Processes and Decision-Making Mod-els in the Personnel Management System. In Designing Workforce Management Systems for Industry 4.0 (pp. 85-104). CRC Press.
Hammouri, Q., Al-Gasawneh, J. A., Nusairat, N. M., Aloqool, A., Al-Amayreh, E., & Anuar, M. M. (2023, Marchb). Em-powering SMEs using New Forms of Digital Innovation: An Empirical Study on Fashion and Clothing Sector. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-5). IEEE.
Hammouri, Q., Aloqool, A., Saleh, B., Aldossary, H., Frejat, S., Halim, M., ... & Darawsheh, S. (2023a). An empirical in-vestigation on acceptance of e-wallets in the fintech era in Jordan: Extending UTAUT2 model with perceived trust. In-ternational Journal of Data and Network Science, 7(3), 1249-1258.
Hammouri, Q., Altaher, A. M., Rabaa’i, A., Khataybeh, H., & Al-Gasawneh, J. A. (2022b). Influence of psychological con-tract fulfillment on job outcomes: A case of the academic sphere in Jordan. Problems and Perspectives in Manage-ment, 20(3), 62-71.
Hammouri, Q., Atobishi, T., Altememi, A., Al-Zagheer, H., & Khataybeh, H. (2022a). The impact of investing in Big Data Analytics (BDA) in enhancing organizational agility and Performance. Central European Management Journal, 30(4), 1090-1093.
Hammouri, Q., Shraideh, L., & Abu-Shanab, E. (2009, December). Evaluating the success of information strategic system planning. In 7th International Conference on Frontiers of Information Technology, Abbottabad, Pakistan (pp. 390-396).
Hanandeh, A., Altaher, A., Halim, M., Rezk, W., Mahfoudh, N., Hammouri, Q., & Darawsheh, S. (2023). The effects of digital transformation, digital leadership, and entrepreneurial motivation on business decision making and business process performance: Evidence from greater Amman municipality. International Journal of Data and Network Sci-ence, 7(2), 575-582.
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., Ray, S., ... & Ray, S. (2021). An introduction to structural equation modeling. Partial least squares structural equation modeling (PLS-SEM) using R: a workbook, 1-29.
Ikotun, A. M., Ezugwu, A. E., Abualigah, L., Abuhaija, B., & Heming, J. (2023). K-means clustering algorithms: A com-prehensive review, variants analysis, and advances in the era of big data. Information Sciences, 622, 178-210.
Jiang, W., Liang, B., & Wang, L. (2023). The double-edged sword effect of unethical pro-organizational behavior: The re-lationship between unethical pro-organizational behavior, organizational citizenship behavior, and work ef-fort. Journal of Business Ethics, 183(4), 1159-1172.
Khalaf, L. I., Aswad, S. A., Ahmed, S. R., Makki, B., & Ahmed, M. R. (2022). Survey On Recognition Hand Gesture By Using Data Mining Algorithms. In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1-4). IEEE.
Khan, S., & Shaheen, M. (2023). From data mining to wisdom mining. Journal of Information Science, 49(4), 952-975.
Khang, A., Gupta, S. K., Dixit, C. K., & Somani, P. (2023). Data-driven application of human capital management data-bases, big data, and data mining. In Designing Workforce Management Systems for Industry 4.0 (pp. 105-120). CRC Press.
Khrisat, R. M., Khaddam, A. A., & Abusweilem, M. A. (2023). The role of using big data in predicting customer behav-iour: the intermediary role of business intelligence in Jordanian telecommunications companies (a field study). International Journal of Business Information Systems, 42(1), 23-42.
Kumar, S. (2022). Strategic management of carbon footprint using carbon collectible nonfungible tokens (NFTS) on blockchain. Academy of Strategic Management Journal, 21, 1-9.
Lali, K., & Chakor, A. (2023). Improving the Security and Reliability of a Quality Marketing Information System: A Pri-ority Prerequisite for Good Strategic Management of a Successful Entrepreneurial Project. Data & Metadata, 2, 40-40.
Lee, S., Tandoc Jr, E. C., & Lee, E. W. (2023). Social media may hinder learning about science; social media's role in learning about COVID-19. Computers in Human Behavior, 138, 107487.
Lian, H., Huai, M., Farh, J. L., Huang, J. C., Lee, C., & Chao, M. M. (2022). Leader unethical pro-organizational behavior and employee unethical conduct: Social learning of moral disengagement as a behavioral principle. Journal of Man-agement, 48(2), 350-379.
Lim, W. M., & Rasul, T. (2022). Customer engagement and social media: Revisiting the past to inform the future. Journal of Business Research, 148, 325-342.
Lutfi, A., Alrawad, M., Alsyouf, A., Almaiah, M. A., Al-Khasawneh, A., Al-Khasawneh, A. L., ... & Ibrahim, N. (2023). Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling. Journal of Retailing and Consumer Services, 70, 103129.
MacIntosh, R., Maclean, D., & Robinson, C. (2023). Strategic management: Strategists at work. Bloomsbury Publishing.
Mahmoud, Y. (2022). Influence of E-Business Strategies on the Productivity of human Capital within Telecommunication Sector in Jordanian Telecommunication Sector. Calitatea, 23(191), 121-128.
Orben, A., Przybylski, A. K., Blakemore, S. J., & Kievit, R. A. (2022). Windows of developmental sensitivity to social media. Nature Communications, 13(1), 1649.
Palmié, M., Rüegger, S., & Parida, V. (2023). Microfoundations in the strategic management of technology and innova-tion: Definitions, systematic literature review, integrative framework, and research agenda. Journal of Business Re-search, 154, 113351.
Popat, A., & Tarrant, C. (2023). Exploring adolescents’ perspectives on social media and mental health and well-being–A qualitative literature review. Clinical child psychology and psychiatry, 28(1), 323-337.
Putra, R., & Ali, H. (2022). Organizational behavior determination and decision making: analysis of skills, motivation and communication (literature review of human resource management). Dinasti International Journal of Digital Business Management, 3(3), 420-431.
Raed, H., Altaher, A., Barnat, S., Ahmad, H., Halim, M., Hammouri, Q., & Darawsheh, S. (2023b). The effect of groups’ reference, usefulness perception, and products quality on intention to buy and online shopping decision. International Journal of Data and Network Science, 7(3), 1361-1368.
Raed, H., Qawasmeh, E., Alserhan, A., Ahmad, H., Hammouri, Q., Halim, M., & Darawsheh, D. (2023a). Utilizing busi-ness intelligence and digital transformation and leadership to enhance employee job satisfaction and business added value in greater Amman municipality. International Journal of Data and Network Science, 7(3), 1077-1084.
Rehman, A. U., Saleem, R. M., Shafi, Z., Imran, M., Pradhan, M., & Alzoubi, H. M. (2022). Analysis of Income on the Ba-sis of Occupation using Data Mining. In 2022 International Conference on Business Analytics for Technology and Se-curity (ICBATS) (pp. 1-4). IEEE.
Ricardo, J. E., Fernández, A. J., & Vázquez, M. Y. (2022). Compensatory Fuzzy Logic with Single Valued Neutrosophic Numbers in the Analysis of University Strategic Management. International Journal of Neutrosophic Science (IJNS), 18(4).
Rohini, P., Tripathi, S., Preeti, C. M., Renuka, A., Gonzales, J. L. A., & Gangodkar, D. (2022, April). A study on the adop-tion of Wireless Communication in Big Data Analytics Using Neural Networks and Deep Learning. In 2022 2nd Inter-national Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 1071-1076). IEEE.
Salah, D. A. M. A., Hijazi, H. A., & Al Fouri, A. (2023). The Mediating Effect of Employee Behavior on Strategic Human Resource Management Practices and Organizational Performance in Jordanian Telecommunication Compa-nies. International Journal, 10(3), 1340-1346.
Saura, J. R., Palacios-Marqués, D., & Ribeiro-Soriano, D. (2023). Exploring the boundaries of open innovation: Evidence from social media mining. Technovation, 119, 102447.
Shu, X., & Ye, Y. (2023). Knowledge Discovery: Methods from data mining and machine learning. Social Science Re-search, 110, 102817.
Tang, P. M., Yam, K. C., Koopman, J., & Ilies, R. (2022). Admired and disgusted? Third parties’ paradoxical emotional reactions and behavioral consequences towards others’ unethical pro‐organizational behavior. Personnel Psycholo-gy, 75(1), 33-67.
Tsui, K. L., Chen, V., Jiang, W., Yang, F., & Kan, C. (2023). Data mining methods and applications. In Springer handbook of engineering statistics (pp. 797-816). London: Springer London.
Vandenbosch, L., Fardouly, J., & Tiggemann, M. (2022). Social media and body image: Recent trends and future direc-tions. Current opinion in psychology, 45, 101289. Infante, A., & Mardikaningsih, R. (2022). The Potential of social media as a Means of Online Business Promotion. Journal of Social Science Studies (JOS3), 2(2), 45-49.
Wang, H., Zhang, Y., Li, P., & Henry, S. E. (2023). You raise me up and I reciprocate: linking empowering leadership to organizational citizenship behavior and unethical pro‐organizational behavior. Applied psychology, 72(2), 718-742.
Wang, X., Zheng, X., & Zhao, S. (2022). Repaying the debt: An examination of the relationship between perceived organi-zational support and unethical pro-organizational behavior by low performers. Journal of Business Ethics, 179(3), 697-709.
Xu, Y., Zheng, X., Li, Y., Ye, X., Cheng, H., Wang, H., & Lyu, J. (2023). Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review. Journal of Evidence‐Based Medicine, 16(3), 342-375.
Yu, B., Mao, W., Lv, Y., Zhang, C., & Xie, Y. (2022). A survey on federated learning in data mining. Wiley Interdiscipli-nary Reviews: Data Mining and Knowledge Discovery, 12(1), e1443.
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: International Journal of Data and Network Science | Year: 2024 | Volume: 8 | Issue: 3 | Views: 1169 | Reviews: 0

Related Articles:
  • Digital transformation and the challenges associated with applying digital ...
  • Architectural framework of digital marketing: Examining its relationship wi ...
  • The impact of entrepreneurship factors on organization behavior and learnin ...
  • The effects of big data analytics and workplace pressures on productivity
  • Utilizing business intelligence and digital transformation and leadership t ...

Add Reviews

Name:*
E-Mail:
Review:
Bold Italic Underline Strike | Align left Center Align right | Insert smilies Insert link URLInsert protected URL Select color | Add Hidden Text Insert Quote Convert selected text from selection to Cyrillic (Russian) alphabet Insert spoiler
winkwinkedsmileam
belayfeelfellowlaughing
lollovenorecourse
requestsadtonguewassat
cryingwhatbullyangry
Security Code: *
Include security image CAPCHA.
Refresh Code

® 2010-2026 GrowingScience.Com