2019 International Conference on Digitization (ICD)最新文献

{"title":"The effect of Effort expectancy, Ubiquity, and Context on intention to use online applications","authors":"Mohammad Ahmar Khan, Mansour Nasir Al Raja, Shrooq Saud Abdulaziz Al-Shanfari","doi":"10.1109/ICD47981.2019.9105662","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105662","url":null,"abstract":"In this paper, we developed a new conceptual model of integrating unified theory of acceptance and use of technology (UTAUT) with ubiquity, and context as constructs to measure their impact on user's intention to use online applications (apps). This research is conducted in Omani Community to look at their responses toward adopting and using mobile apps. For this reason, data was collected by distributing questionnaires among people at Dhofar University, besides an online sharing link for people to solve. The results of this research indicate the influence of Effort Expectancy, and Ubiquity as affected directly on the behavioral intention to use. This article will contribute in field of mobile applications, and propose recommendations for future studies to telecom providers, and mobile service developers.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115014605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysing Performance of Company through Annual reports using Text Analytics","authors":"P. K. Sai, Pooja Gupta, Semila Fernandes","doi":"10.1109/ICD47981.2019.9105673","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105673","url":null,"abstract":"Investors and financial analysts mainly rely on Annual Reports to decide on the company's current performance and make calculated plans on their investments. Annual reports provide an overview of firms past performance, how they make use of the external environment for their growth needs, their strategies for growth and their expectations for the future. The financial information presented in the financial statements is a combination of textual and numerical information. The numerical information includes the balance sheet, income statement and cash flow statement, which constitutes about less than 20%. The remaining 80% are textual in nature, which includes footnotes, letters from executive leaderships, strategies, leadership team, shareholder details, and various reports including directors report, sustainability report, corporate governance report. Until recent years, financial analysts use conventional methods like ratio and trend analysis primarily based on numerical information for analyzing the performance of the organization. So far textual data in annual reports were considered as complex and categorized as inaccessible information for the huge number of novice investors. This paper tries to investigate how the textual component of Annual report can be used deduct meaningful information about company's performance by employing text analytics. Text analytics uses statistical pattern learning for understanding the trends and patterns, which in turn provides information of high accuracy. This is attained by working on the unstructured information spread across different section in details, extract meaningful data contained in the text, convert it to numerical, and then use it along with relevant data mining algorithms. The research tries to answer 2 questions; 1. How emotions in the annual reports as a whole determines the current performance of the company, 2. Does these emotions have an impact on the expected returns on the forthcoming year. We conducted a descriptive research, selecting 12 IT Firms functioning in India. The research considered annual reports for a period of 3 years starting from 2015–16 to 2017–18, thereby creating 36 samples. We performed mining on these reports using Bing Lexicon for sentiment analysis as well as NRC lexicon for emotional analysis. The structured data analysis was collected from Bloomberg. Risk and Return analysis were done on the Market performance of the subsequent years. We employed statistical techniques on these data to create multivariate models. The results suggest that companies' current performance plays an important role in the emotions in the annual reports. We also noticed an established relation between the emotions in annual report and future performance of the firm. We concluded that text analytics can be efficiently used on the unstructured data present in annual reports and the results can be effectively used by the stakeholders using these data to make their decisions based on compani","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129876593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A case study on the importance of Human Resource Information System in the Healthcare sector of a corporate Hospital in India","authors":"Manishankar Chakraborty, Khwaja Mansoor Ali Khan","doi":"10.1109/ICD47981.2019.9105864","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105864","url":null,"abstract":"Healthcare sector forms the backbone of a society. This is more so in the case of an emerging economy like India, where, the need to reach out to every nook and corner of the country is indeed a real challenge. In such a scenario the healthcare organizations ought to leverage technology to the fullest, in order to optimize the usage of human capital present within the organization. The case paper diagnoses a corporate hospital in India, so as to decipher the role of Human Resource Information System (HRIS), in providing quality healthcare services to the customers. Furthermore, it also dissects the major anomalies present in the HRIS and the need to overhaul the processes, culminating in making it more dynamic and vibrant. Various aspects of the management team have been brought to the fore that has attributed towards the implementation of HRIS. The perfect blend of understanding the actual art and science of Human Resource Management with the Technology based element is being presented in the case for understanding the scenario prevailing with and without HRIS. This in turn provides interesting food for thought for HRIS professionals to know the pros and cons of technology based human resource management. Tursunvayeva and et. al; 2016, in their study concluded that research on HRIS in the healthcare sector was interdisciplinary, atheoretical study conducted primarily in the hospital sector of high-income economies, and largely focused uncritically on use and realized benefits. The case study therefore, analyzes the ramification of the presence of HRIS in only selected few corporate and high end public funded hospitals, culminating in not realizing the true potential, so as to use the talent towards a better output, in an emerging economical set-up.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114367913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on The Impact of Artificial Intelligence on Government E-service in Dubai","authors":"Amna Al Marri, Fatma Albloosh, S. Moussa, Haythem M. ElMessiry","doi":"10.1109/ICD47981.2019.9105866","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105866","url":null,"abstract":"AI has become a phenomenon of interest in the current world of technological advancement. There are many applications of this technology, including its usage to facilitate government activities. Dubai has taken note of multiple application of AI and thus integrated it into its e-services sector. Accordingly, the purpose of this study is to investigate the impact of AI on government e-service in Dubai. The findings of the study indicated that AI is highly beneficial at both individual and organizational level, government and the private sector are responsible for its adoption. This study also found that there are both positive and negative response to the use of AI in the government services. Users are impressed by the positive impact, while others fear that AI might take over, resulting in job loss. There are limitations associated with the use of AI. However, they can be overcome by developing effective strategies. The key recommendations provided in this study include use of national values in the course of developing an AI system, effective address of societal problems, and provision of assistance to people to adapt to the transformation caused by AI.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114975053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Offline Sindhi Speech Recognition","authors":"Muhammad Saim Younus Hashmi, D. Hakro, Anjali Mandhan","doi":"10.1109/ICD47981.2019.9105891","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105891","url":null,"abstract":"Motivation behind this research effort is to fill up the gap between the computer and its related technologies and the people of rural Sindh, by enabling them to use Sindhi language in their computers, mobiles etc. The Sindhi language is the most commonly used language by Sindh province people, particularly people living in rural areas of Sindh. This language is also spoken in many areas of India. While there exists a number of speech recognition systems, which have been developed for different languages, literature suggests there is need for speech recognition system in local Sindhi language. We have designed and developed a speech recognition system in Sindhi language, which is based on Artificial Neural Network (ANN) and Hidden Markov Model (HMM). The main purpose behind using ANN is that has an adaptive nature which means it has the capability to learn. In this paper, we present and discuss various aspects of the proposed Sindhi speech recognition system including fundamental model of a speech recognition trainer and its different modules. It also describes how to develop dictionary for Sindhi language and how to train a module for Automatic Speech Recognition (ASR). We also present and discuss the results of experiments conducted to evaluate the system.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128591442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing the Adoption of E-Payment Technologies in UAE Based on Demographic Variables","authors":"A. Najdawi, Zakariya Chabani, Raed A. Said, O. Starkova","doi":"10.1109/ICD47981.2019.9105908","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105908","url":null,"abstract":"This paper will spot the light on the digital transformation of payment methodologies in the United Arab Emirates that is leading the region in moving toward a knowledge-based economy with remarkable growth in e-commerce transactions. The aim of this paper is to analyze several mature and emerging e-payment technologies and their adoption mainly in the cities with ongoing change-programs toward smart cities. The research will analyze the end-users of e-payment through quantitative analysis based on demographic variables. The preliminary results of this paper will highlight a better understanding of variables that lead to the adoption which can be useful to develop successful digital transformation strategies of payment processes in several sectors based on a socio-technical perspective and aligned with the latest trends of FinTech services.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130950692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Overriding FINTECH","authors":"Deepak Kalra","doi":"10.1109/ICD47981.2019.9105915","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105915","url":null,"abstract":"Finance & technology have been coexisting during the evolution of modern society and this coexistence was mainly restricted to collection and payment of taxes in the form of coins and paper money, managing government finances, and agricultural production. The term FinTech emerged in 1972, as an acronym of Financial Technologies, is often described as amalgamation of financial services using technological evolutions, and its usage was earlier limited to banking sector deploying modern management Science and Computers (Bettinger, 1972, p.62). Fintech was mainly restricted to back-office processes of banks leveraging software and applications to manage customer accounts and their transactions in a secured, centralized, and efficient way. Micu (2016), referred Fintech as a new paradigm of technology to facilitate business, international trade, and services offered to retail consumers. Schueffel (2016) conceptualized FinTech as a technological encapsulation of Financial Sector rather than a technology. Smartphones with high speed Internet has triggered the growth of Fintech through customer facing apps. Takahashi (2018), predicted that global smartphone usage will surpass 3.8 billion by the end of year 2021, accounting for 48% of the global population. The evolution and future of FinTech can be analyzed from the glasses of historical dissection, in accordance to following versions.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121132258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing the Challenges of Security Threats and Personal information in Mobile Cloud Computing Infrastructure","authors":"I. Elzein, Moustapha Kurdi","doi":"10.1109/ICD47981.2019.9105711","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105711","url":null,"abstract":"The rise of cloud computing is considered nowadays as an inspiring technology to the computing sector. The term “software as a services” (SAAS) is representing a model of software distribution which led third-party provider to hosts an application and arrange it to be available for a client through a mean of Internet. The latest scheme of mobile cloud computing is reliant directly on cloud computing to deliver to mobile devices a numerous sets of applications. However, with all the advantages delivered by such scheme there are many challenges that we need to address; the maximum bandwidth capacity available, as well as the battery life, and main storage capacity of mobile devices. Cloud computing has two important factors that must be considered in terms of the services that are provided by this technology and these are mainly privacy and security. In this research article we will investigate the challenges in mobile cloud computing, the architecture involved and modeling, as well as surveying mobile cloud computing challenges.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116139738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Framework of Supply Chain Strategies to achieve competitive advantage in Digital era","authors":"Ramakrishna Yanamandra","doi":"10.1109/ICD47981.2019.9105913","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105913","url":null,"abstract":"Today's supply chains are becoming more competitive, complex, costly, risky and unpredictable. Usage of Information and Communications Technology (ICT), digital technology, and big data analysis develops traditional supply chains into smarter supply chains and enable effective management of future challenges in digital era. These technologies of digital era are found to achieve the basic objectives of supply chain such as, faster, cheaper and better product availability and customer reach. The digital era consists of Internet of Things (IoT), Big Data and Analytics, Interconnectivity of digital devises and it requires advanced technologies to capture, collect, store, analyze and interpret huge information. The IoT is a network of hardware, software, devices, databases, objects, sensors, and systems, all working at the service of humanity. With IoT smart devices, supply chain firms would be able to reduce the information acquisition costs. The current evolution of big data in the digital era and an appropriate analysis of this data would provide a huge benefit in terms of positive outcomes in supply chain for companies which utilize and implement them during the next decade. The data driven revolution is going to sweep the way the future business is done and the way supply chain is managed. Big data analytics (BDA), known as ‘supply chain analytics' in supply chain management can help firms gain competitive advantage and achieve the status of ‘Smart Supply Chain’. Supply chain management in Digital Era is influenced through the analysis of wide range of data available in supply chain through various sources such as i) Product Design, ii) Supply Chain Design, iii) Sourcing, iv) Production, v) Warehousing, vi) Transportation, vii) Point-of-Sale to viii) Consumer. Supply chains will be operated in a more networked manner than they are today in the digital era. Organizations need to develop new collaborative models and scalable approaches for managing their supply chains more effectively in the digital era. Digital marketplaces and data cleanroom will enable the data transparency and smooth coordination with strategic supply chain partners. Organizations need to achieve new competitive capabilities like visibility, real-time response and digitization in the digital era in supply chain management. Though some leading companies have already commenced to modify their customer value propositions, and attempting to transform their supply chain operations using digital technologies, consensus has not yet evolved among researchers on what strategies to be adopted by the organizations to achieve supply chain related competitive advantage in the digital era. Therefore, there is a need to study the future strategies of supply chain to be adopted by business organizations to achieve positive outcomes in the digital era. This paper attempts to fill this gap in the body of knowledge by developing a framework of supply chain strategies and their enablers in digital","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115560269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"e-Governance in Teacher Education in India: Challenges and Opportunities","authors":"Satish Kumar","doi":"10.1109/ICD47981.2019.9105810","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105810","url":null,"abstract":"Education being one of the most important sectors for achieving the development objectives of any country. Teacher education is a need of hour in India, at present. There are some of the Regulatory/Governing Bodies such as UGC, AICTE, NCTE and many others. Amongst these, while talking towards Higher Education Regulatory Authority (HERA). National Council for Teacher Education, Delhi is playing the key role in strengthening the teacher education sector in India. As e-Governance helps in transparency improvement, improvement in efficiency of administration, to deliver public services up to the last person in the effective manner. NCTE is, stepping in a rapid manner by initiating several digital platforms, Teacher Education Institutions (TEIs) are approaching the quality education by filling the online Performance Appraisal Report (PAR) which is a platform/initiative of NCTE for the performance evaluation of recognized TEIs. Also, NCTE has already invited applications for 4 year Integrated Teacher Education Programmes (ITEP) starting from the academic session 2020–21, through online mode. Also one platform Teacher Pupil Registration has been launched by the NCTE to facilitate the passed out/pursuing teacher pupils of any recognized TEIs situated across the country to assess the genuineness of their Teacher Education Programmes (TEPs), a completely online process starting from registration by the teacher pupils up to getting the certificate of approval. This paper presents the attempts made by NCTE in achieving the quality teacher education in India and use of various e-Governance platforms for the sector.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"263 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114548749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}