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Permanent URI for this collectionhttps://hdl.handle.net/20.500.14411/18

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Citation - WoS: 21
Citation - Scopus: 48
Customer Relationship Management: Implementation Process Perspective
(Budapest Tech, 2009) Mishra, Alok; Mishra, Deepti; Computer Engineering; Software Engineering
Customer relationship management (CRM) can help organizations manage customer interactions more effectively to maintain competitiveness in the present economy. As more and more organizations realize the significance of becoming customer-centric in today's competitive era, they adopted CRM as a core business strategy and invested heavily. CRM, an integration of information technology and relationship marketing, provides the infrastructure that facilitates long-term relationship building with customers at an enterprise-wide level. Successful CRM implementation is a complex, expensive and rarely technical projects. This paper presents the successful implementation of CRM from process perspective in a trans-national organization with operations in different segments. This study will aid in understanding transition, constraints and the implementation process of CRM in such organizations.
Citation - WoS: 11
Citation - Scopus: 16
Improving Baggage Tracking, Security and Customer Services With Rfid in the Airline Industry
(Budapest Tech, 2010) Mishra, Deepti; Mishra, Alok; Computer Engineering; Software Engineering
Radio frequency identification (RFID) has been identified as one of the ten greatest contributory technologies of the 21(st) Century. This technology has found a rapidly growing market, and an increasing variety of enterprises are employing RFID to improve the efficiency of their operations and to gain competitive advantage. In the aviation industry, major airports/airlines have been looking for the opportunity to adopt RFID in the area of baggage handling for a long time. Many pilot tests have been done at numerous US., European, and Hong Kong airports. RFID tags were found to be far more accurate than bar codes, and their performance was also measured to be well above that of bar codes. This paper presents the state of RFID adoption planning, architecture and implementation at a major airline, with a special focus on improved services due to improved baggage handling, on increased airport/airline security and on frequent flier program services. This is accomplished by integrating RFID technology together with networking and database technologies.
Citation - WoS: 6
Citation - Scopus: 7
Predictive Effect of Gender and Sector Differences on Internet Usage Among Employees
(Kaunas Univ Technol, 2010) Akman, Ibrahim; Mishra, Alok; Software Engineering; Computer Engineering
Internet has become the foundation for the world's new information infrastructure. This impact could be attributed to the Internet's universal access to information as well as its applications in all walks of life. Various services of the Internet and tools (chat rooms, e-mails, etc.) provide users with a wide range of benefits. In their study, Colley and Maltby (2008) indicated that one important research area over the last decade has been the impact of the Internet upon different social groups in the society. The differences in various aspects of Internet usage across demographic groups have also become an interesting research area (Yang and Tung, 2007; Jaeger, 2003) because demographic attributes were found to influence individuals' actions before they engage in a given behaviour (Ajzen and Fishbein, 1980; Zhang, 2005; Jaeger, 2003). Zhang (2005) reported that although studies of computer and Internet attitudes are abundant, the majority of these researches use college students (Zhang, 2005; Hwang et al., 2006; Li and Kirkup, 2007; Chen, 2008) or ordinary citizens (Fisher and Jacob, 2006; Fang and Yen, 2006; Colley and Maltby, 2008) as samples. However, employee populations constitute one of the largest groups and play a very important role in the adoption of new technologies. Additionally, employees' use of Internet services may show entirely different patterns than other groups in the society (Jin et al., 2007). Furthermore, the basic concepts of the Internet have been developed in the Western World and most of the empirical research focusing on Internet usage is either US/EU or Far East based (Teo and Lim, 2000; Usiner, 2005). Although they cover very valuable territory and provide useful insights that can provide direction in the examination of the issues from a global perspective, the results of these studies may not be applicable to other parts of the world due to the existence of social and economic differences (Bertot, McClure and Owens, 1999; Zhang, 2005). Nowadays, there is a growing divide between Western countries and the developing countries and, comparatively, very little has been researched in the field of ICT in the latter. Keeping these in view, the present study was undertaken to investigate the predictive effect of employees' gender and sector in their Internet usage and purpose of using the Internet. For the purpose of this study, "public sector" refers to national government departments and "private sector" comprises private corporations (Akman et al., 2005). Here, it is important to note that institutions providing nonprofit public services (e. g. universities, local government, etc.) have been categorized as a public sector. Our study focused on employees from private and public sector organizations. A sample of employees was used for this purpose. The independent (decision) variables were gender and sector of employees. The dependent variables were categorized into two empirical factors: (i) usage profile (average daily use of Internet and reason for using Internet) and (ii) usage pattern (average daily use of Internet for communication services, average daily use of Internet for information services and average daily use of Internet for electronic services). For this purpose, a survey was conducted among employees from public and private sector organizations. Interestingly, the results indicated that gender and sector both have significant impact on average daily use of Internet for communication services. This impact is significant for gender on average daily use of Internet for information services and for sector on average daily use of Internet. Another interesting finding is that there is no significant predictive effect of gender and sector on the reason for using Internet.
Citation - WoS: 4
Citation - Scopus: 3
A Legal Business Information System: Implementation Process Context
(Budapest Tech, 2011) Mishra, Alok; Mishra, Deepti; Computer Engineering; Software Engineering
Information Technology (IT) is fast becoming useful in implementing time, case, manpower and cost management strategies within judicial services. The legal system environment has adopted IT not just to save costs and time but also to give organizations a competitive edge and to ensure security as well. The Legal Business Information System is a fully operational and integrated system for a legal department. The mission of the department is to provide innovative and quality services in insolvency and trustee matters. Very few legal business information system implementations are documented in literature. Therefore this paper will facilitate understanding of system implementation in this sector.
Citation - WoS: 5
Citation - Scopus: 11
Erp Project Implementation: Evidence From the Oil and Gas Sector
(Budapest Tech, 2011) Mishra, Alok; Mishra, Deepti; Computer Engineering; Software Engineering
Enterprise Resource Planning (ERP) systems provide integration and optimization of various business processes, which can lead to improved planning and decision quality, and a smoother coordination between business units, resulting in higher efficiency and a quicker response time to customer demands and inquiries. This paper reports the challenges and opportunities and the outcome of an ERP implementation process in the Oil & Gas exploration sector. This study will facilitate the understanding of the transition, constraints, and implementation process of ERP in this sector and will also provide guidelines from lessons learned in this regard.
Citation - WoS: 21
E-Government - Exploring the Different Dimensions of Challenges, Implementation, and Success Factors
(Assoc Computing Machinery, 2011) Mishra, Alok; Mishra, Deepti
This paper explores the different dimensions of e-government significant issues Challenges, Implementation, and Success Factors. The main objective is to highlight the current research and practice direction in these important areas of e-government. The results were limited to peer-reviewed conference papers and journal articles, published from 2001 up to and including early 2011. The analysis revealed that most research has been done in formulating challenges and barriers, implementation plan, evaluation/assessment and success factors of e-government while studies on knowledge management in e-government, readiness for e-government, e-Gov. process and security/privacy issues could get only limited attention. This indicates the need for future research (quantitative and qualitative) in these areas. Further it also reports a summary of the research in these e-government areas.
Citation - WoS: 17
Citation - Scopus: 24
Iot Platform for Seafood Farmers and Consumers
(Mdpi, 2020) Jaeger, Bjorn; Mishra, Alok; Jæger, Bjørn
There has been a strong growth in aquatic products supported by the global seafood industry. Consumers demand information transparency to support informed decisions and to verify nutrition, food safety, and sustainable operations. Supporting these needs rests on the existence of interoperable Internet of Things (IoT) platforms for traceability that goes beyond the minimum "one up, one down" scheme required by regulators. Seafood farmers, being the source of both food and food-information, are critical to achieving the needed transparency. Traditionally, seafood farmers carry the costs of providing information, while downstream actors reap the benefits, causing limited provision of information. Now, global standards for labelling, data from IoT devices, and the reciprocity of utility from collecting data while sharing them represent great potential for farmers to generate value from traceability systems. To enable this, farmers need an IoT platform integrated with other IoT platforms in the value network. This paper presents a case study of an enterprise-level IoT platform for seafood farmers that satisfies consumers' end-to-end traceability needs while extracting data from requests for information from downstream actors.
Citation - WoS: 12
Citation - Scopus: 17
A Novel Framework Using Deep Auto-Encoders Based Linear Model for Data Classification
(Mdpi, 2020) Karim, Ahmad M.; Kaya, Hilal; Guzel, Mehmet Serdar; Tolun, Mehmet R.; Celebi, Fatih V.; Mishra, Alok
This paper proposes a novel data classification framework, combining sparse auto-encoders (SAEs) and a post-processing system consisting of a linear system model relying on Particle Swarm Optimization (PSO) algorithm. All the sensitive and high-level features are extracted by using the first auto-encoder which is wired to the second auto-encoder, followed by a Softmax function layer to classify the extracted features obtained from the second layer. The two auto-encoders and the Softmax classifier are stacked in order to be trained in a supervised approach using the well-known backpropagation algorithm to enhance the performance of the neural network. Afterwards, the linear model transforms the calculated output of the deep stacked sparse auto-encoder to a value close to the anticipated output. This simple transformation increases the overall data classification performance of the stacked sparse auto-encoder architecture. The PSO algorithm allows the estimation of the parameters of the linear model in a metaheuristic policy. The proposed framework is validated by using three public datasets, which present promising results when compared with the current literature. Furthermore, the framework can be applied to any data classification problem by considering minor updates such as altering some parameters including input features, hidden neurons and output classes.
Citation - WoS: 11
Citation - Scopus: 14
Sustainability Inclusion in Informatics Curriculum Development
(Mdpi, 2020) Mishra, Deepti; Mishra, Alok
(1) Background: Presently, sustainability is a crucial issue for human beings due to many disasters owing to climate change. Information Technology (IT) is now part of everyday life in society due to the proliferation of gadgets such as mobile phones, apps, computers, information systems, web-based systems, etc. (2) Methods: The analysis is based on recent ACM/IEEE curriculum guidelines for IT, a rigorous literature review as well as various viewpoints and their relevance for sustainability-oriented curriculum development; it also includes an assessment of key competencies in sustainability for proposed units in the IT curriculum. (3) Results: Sustainability is a critical subject for prospective IT professionals. Therefore, it is imperative to motivate and raise awareness among students and the faculty community regarding sustainability through its inclusion in the Informatics curriculum. This paper focuses on how sustainability can be included in various courses of the Informatics curriculum. It also considers recent ACM/IEEE curriculum guidelines for IT professionals, which assert that IT students should explore IT strategies required for developing a culture of green and sustainable IT. (4) Conclusions: This paper provides guidelines for IT curriculum development by incorporating sustainable elements in courses, so that future IT professionals can learn and practice sustainability in order to develop a sustainable society.
Citation - WoS: 26
Citation - Scopus: 38
A Rule-Based Approach To Embedding Techniques for Text Document Classification
(Mdpi, 2020) Aubaid, Asmaa M.; Mishra, Alok
With the growth of online information and sudden expansion in the number of electronic documents provided on websites and in electronic libraries, there is difficulty in categorizing text documents. Therefore, a rule-based approach is a solution to this problem; the purpose of this study is to classify documents by using a rule-based. This paper deals with the rule-based approach with the embedding technique for a document to vector (doc2vec) files. An experiment was performed on two data sets Reuters-21578 and the 20 Newsgroups to classify the top ten categories of these data sets by using a document to vector rule-based (D2vecRule). Finally, this method provided us a good classification result according to the F-measures and implementation time metrics. In conclusion, it was observed that our algorithm document to vector rule-based (D2vecRule) was good when compared with other algorithms such as JRip, One R, and ZeroR applied to the same Reuters-21578 dataset.

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