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2(1) (2023):40-50 DOI: https://doi.org/10.46632/jbab/2/1/9
Krishna Kumar TP, M. Ramachandran, Vidhya Prasanth, Chandrasekar Raja.
Developing Business Services. This study examines business development services for entrepreneurs, which should be offered in various phases. Non-financial services and products are defined as business services. “Business services” is a common term used to describe supportive but firm objects and non-productive work. Information technology (IT) is an important supporting service in many businesses, such as shipping and finance. A good business service aligns with the company’s IT assets, employees, and customers’ requirements, supports business goals, and facilitates company profitability. The IT sector provides business documenting the value of infrastructure processes, IT service audit, IT service inventory creation or renewal, and/or delivery to improve communication, including an employee self-service portal. More information about this source text is required for additional translation; please send feedback using the side panels. Business services are a support business but produce a solid product. Information technology (IT) is an important business support service in shipping, procurement, and various businesses like finance. Business development is about promoting development in your company to increase revenue strategies and opportunities through the process of implementation. Pursuing opportunities, identifying new opportunities, and converting more customers, including commercial services, are activities that help businesses but do not provide tangible substance. For example, information technology in shipping, procurement, and various businesses like finance supports these services. To help your business grow, you need to pursue opportunities and develop strategies to increase revenue. This involves conducting extensive market research, raising visibility and awareness, promoting thought leadership, conducting outreach, generating quality leads, providing exemplary customer service, and developing sales content from success stories. SPSS statistics is a data management, advanced analytics, multivariate analytics, business intelligence, and criminal investigation developed by IBM for a statistical software package. A long time, spa Inc. was created by IBM, which purchased it in 2009. The brand name for the most recent versions is IBM SPSS statistics. The Cronbach’s alpha reliability result showed that the overall Cronbach’s alpha value for the model is .490, indicating 50% reliability. From the literature review, the above cronbach’s alpha value of 46% can be considered to analyze the model.
Gebauer, Heiko, and Elgar Fleisch. “An investigation of the relationship between behavioral processes, motivation, investments in the service business and service revenue.” Industrial Marketing Management 36, no. 3 (2007): 337-348.
Krishna Kumar TP, M. Ramachandran, Sathiyaraj Chinnasamy, Malarvizhi Mani, “Matrix Organization Analysis Using Grey Relational Analysis”, REST Journal on Banking, Accounting and Business, 1(1), (2022):64-71.
Singh, Shubhendra P. “Exploration on a Low Power Accuracy Configurable Radix-4adder.” In 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), pp. 1-5. IEEE, 2022.
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Lovelock, Christopher H., and George S. Yip. “Developing global strategies for service businesses.” California management review 38, no. 2 (1996): 64-86.
Joshi, Kapil, Rajiv Kumar, Anil Kumar, Jagdeep Reshi, Aditi Sharma, and Ankur Dumka. “A Framework Optimization in Social Media using Xampp: A Systematic Approach.” In 2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP), pp. 1-4. IEEE, 2022.
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Krishna Kumar TP, Vimala Saravanan, M. Ramachandran, Manjula Selvam, “A Market Segmentation Assessment Weighted Scoring for Using WSM Method An Study for Different Market”, REST Journal on Banking, Accounting and Business, 1(3), (2022):1-8.
Tajammul, Mohd. “An Method Relies on Penalties can Solve the Macro-and Micro Fire House Placement Issue.” In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), pp. 205-211. IEEE, 2022.
Zhu, Kevin, Kenneth L. Kraemer, and Jason Dedrick. “Information technology payoff in e-business environments: An international perspective on value creation of e-business in the financial services industry.” Journal of management information systems 21, no. 1 (2004): 17-54.
Palanimuthu, Kogila, Eshetu Fikadu Hamba Yigazu, Gemechu Gelalcha, Yirgalem Bekele, Getachew Birhanu, and Birhanu Gutu. “Assessment of Stress, Fear, Anxiety and Depression on COVID-19 Outbreak among Adults in South-Western Ethiopia.” Prof.(Dr) RK Sharma 21, no. 1 (2021): 440.
Rathor, Ketan, Keyur Patil, Mandiga Sahasra Sai Tarun, Shashwat Nikam, Devanshi Patel, and Sasanapuri Ranjit. “A Novel and Efficient Method to Detect the Face Coverings to Ensurethe Safety using Comparison Analysis.” In 2022 International Conference on Edge Computing and Applications (ICECAA), pp. 1664-1667. IEEE, 2022.
Palanimuthu, Kogila, Birhanu Gutu, Leta Tesfaye, BuliYohannis Tasisa, Yoseph Shiferaw Belayneh, Melkamu Tamiru, and Desalegn Shiferaw. “Assessment of Awareness on COVID-19 among Adults by Using an Online Platform: 26 Countries View.” Medico-legal Update 21, no. 1 (2021).
Abualsaud, Khalid, Massudi Mahmuddin, Mohammad Saleh, and Amr Mohamed. “Performance Comparison of classification algorithms for EEG-based remote epileptic seizure detection in Wireless Sensor Networks.” In 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), pp. 633-639. IEEE, 2014.
Palanimuthu, Kogila, Eshetu Fikadu Hamba Yigazu, Gemechu Gelalcha, Yirgalem Bekele, Getachew Birhanu, and Birhanu Gutu. “Assessment of Stress, Fear, Anxiety and Depression on COVID-19 Outbreak among Adults in South-Western Ethiopia.” Prof.(Dr) RK Sharma 21, no. 1 (2021): 440.
Shahid, Maaz Bin, Alka Chaudhary, Deepa Gupta, and Anil Kumar. “Review Based Rating Prediction using Machine Learning Techniques.” In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), pp. 118-122. IEEE, 2022.
Wahlang, Imayanmosha, Arnab Kumar Maji, Goutam Saha, Prasun Chakrabarti, Michal Jasinski, Zbigniew Leonowicz, and Elzbieta Jasinska. “Deep Learning methods for classification of certain abnormalities in Echocardiography.” Electronics 10, no. 4 (2021): 495.
Dikova, Desislava, Padma Rao Sahib, and Arjen Van Witteloostuijn. “Cross-border acquisition abandonment and completion: The effect of institutional differences and organizational learning in the international business service industry, 1981–2001.” Journal of International Business Studies 41, no. 2 (2010): 223-245.
Kumar Pandey, Rakesh, Asghar Gandomkar, Behzad Vaferi, Anil Kumar, and Farshid Torabi. “Supervised deep learning-based paradigm to screen the enhanced oil recovery scenarios.” Scientific Reports 13, no. 1 (2023): 4892
Yanamandram, Venkata, and Lesley White. “Switching barriers in business‐to‐business services: a qualitative study.” International journal of service industry management 17, no. 2 (2006): 158-192.
Sako, Mari. “Outsourcing and offshoring: Implications for productivity of business services.” Oxford Review of Economic Policy 22, no. 4 (2006): 499-512.
Mahamkali, Aditya. “Health Care Internet of Things (IOT) During Pandemic–A Review.” Journal of Pharmaceutical Negative Results (2022): 572-574.
Rathor, Ketan, Anshul Mandawat, Kartik A. Pandya, Bhanu Teja, Falak Khan, and Zoheib Tufail Khan. “Management of Shipment Content using Novel Practices of Supply Chain Management and Big Data Analytics.” In 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), pp. 884-887. IEEE, 2022.
Chowdhury, Sayan, Tulika Mukherjee, Souvik Sengupta, Somenath Roy Chowdhury, Sibabrata Mukhopadhyay, and Hemanta K. Majumder. “Novel betulin derivatives as antileishmanial agents with mode of action targeting type IB DNA topoisomerase.” Molecular pharmacology 80, no. 4 (2011): 694-703.
Varalakshmi, S. “An Effective Review of The Problems and Opportunities of The Supply Chain for Pharmaceuticals.” In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), pp. 799-804. IEEE, 2022.
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Khan, Hera, Ayush Srivastav, Amit Kumar Mishra, and Tien Anh Tran. “Machine learning methods for estimating permeability of a reservoir.” International Journal of System Assurance Engineering and Management 13, no. 5 (2022): 2118-2131.
Mishra, Amit Kumar, and Shweta Paliwal. “Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective.” Cluster Computing (2022): 1-12.
Das, Tania, Kumar Singha Roy, Tulika Chakrabarti, Sibabrata Mukhopadhyay, and Susanta Roychoudhury. “Withaferin A modulates the Spindle Assembly Checkpoint by degradation of Mad2–Cdc20 complex in colorectal cancer cell lines.” Biochemical pharmacology 91, no. 1 (2014): 31-39.
Rathor, Ketan, Sushant Lenka, Kartik A. Pandya, B. S. Gokulakrishna, Susheel Sriram Ananthan, and Zoheib Tufail Khan. “A Detailed View on industrial Safety and Health Analytics using Machine Learning Hybrid Ensemble Techniques.” In 2022 International Conference on Edge Computing and Applications (ICECAA), pp. 1166-1169. IEEE, 2022.
Farooqui, Nafees Akhter, Amit Kumar Mishra, and Ritika Mehra. “Concatenated deep features with modified LSTM for enhanced crop disease classification.” International Journal of Intelligent Robotics and Applications (2022): 1-25.
Vallathan, G., Senthilkumar Meyyappan, and T. Rajani. “Healthcare: Energy Optimization Techniques Using IoT and Machine Learning.” Hybrid Intelligent Approaches for Smart Energy: Practical Applications (2022): 279-290.
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Karupusamy, Sathishkumar, Mohammed Ahmed Mustafa, Bos Mathew Jos, Priyanka Dahiya, Ramakant Bhardwaj, Pratik Kanani, and Anil Kumar. “Torque control-based induction motor speed control using Anticipating Power Impulse Technique.” The International Journal of Advanced Manufacturing Technology (2023): 1-9.
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Arya, Vishakha, Amit Kumar Mishra Mishra, and Alfonso González-Briones. “Analysis of sentiments on the onset of COVID-19 using machine learning techniques.” ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 11, no. 1 (2022): 45-63.
Chhipa, Abrar Ahmed, Vinod Kumar, Raghuveer Raj Joshi, Prasun Chakrabarti, Michal Jasinski, Alessandro Burgio, Zbigniew Leonowicz, Elzbieta Jasinska, Rajkumar Soni, and Tulika Chakrabarti. “Adaptive neuro-fuzzy inference system-based maximum power tracking controller for variable speed WECS.” Energies 14, no. 19 (2021): 6275.
Nielsen, Steen. “Management accounting and the concepts of exploratory data analysis and unsupervised machine learning: a literature study and future directions.” Journal of Accounting & Organizational Change (2022).
Kumar, Ashish, Ketan Rathor, Snehit Vaddi, Devanshi Patel, Preethi Vanjarapu, and Manichandra Maddi. “ECG Based Early Heart Attack Prediction Using Neural Networks.” In 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC), pp. 1080-1083. IEEE, 2022.
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Krishna Kumar TP, M. Ramachandran, Chandrasekar Raja, Ashwini Murugan, “Understanding of E-Learning Programs using WPM MCDM Method”, REST Journal on Banking, Accounting and Business, 1(2), (2022): 13-19.
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Krishna Kumar TP, M. Ramachandran, Vidhya Prasanth, Chandrasekar Raja. “Developing Business Services Using IBM SPSS Statistics.” REST Journal on Banking, Accounting and Business 2(1) (2023):40-50 DOI: https://doi.org/10.46632/jbab/2/1/9