Search Results

Now showing 1 - 10 of 124
  • Review
    Citation - WoS: 75
    Citation - Scopus: 120
    Hybrid Blockchain Platforms for the Internet of Things (iot): a Systematic Literature Review
    (Mdpi, 2022) Alkhateeb, Ahmed; Catal, Cagatay; Kar, Gorkem; Mishra, Alok
    In recent years, research into blockchain technology and the Internet of Things (IoT) has grown rapidly due to an increase in media coverage. Many different blockchain applications and platforms have been developed for different purposes, such as food safety monitoring, cryptocurrency exchange, and secure medical data sharing. However, blockchain platforms cannot store all the generated data. Therefore, they are supported with data warehouses, which in turn is called a hybrid blockchain platform. While several systems have been developed based on this idea, a current state-of-the-art systematic overview on the use of hybrid blockchain platforms is lacking. Therefore, a systematic literature review (SLR) study has been carried out by us to investigate the motivations for adopting them, the domains at which they were used, the adopted technologies that made this integration effective, and, finally, the challenges and possible solutions. This study shows that security, transparency, and efficiency are the top three motivations for adopting these platforms. The energy, agriculture, health, construction, manufacturing, and supply chain domains are the top domains. The most adopted technologies are cloud computing, fog computing, telecommunications, and edge computing. While there are several benefits of using hybrid blockchains, there are also several challenges reported in this study.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 7
    Erp System Implementation in Fmcg Sector
    (Univ Osijek, Tech Fac, 2010) Mishra, Alok; Mishra, Deepti; Computer Engineering; Software Engineering
    Today's businesses have become extremely complex. Enterprise Resource Planning (ERP) systems can help enterprises to reduce operating costs, generate more accurate forecasts of demand, accelerate production cycles and enhance customer service. This paper reports challenges, opportunities and outcome of ERP implementation in a top Fast Moving Consumer Goods (FMCG) house in South-East Asia with diversified interests in varied businesses. This study will facilitate the understanding of the transition, constraints and implementation of ERP in this sector and also provide guidelines from lessons learned in this regard to researchers and practising managers.
  • Article
    Citation - WoS: 13
    Citation - Scopus: 33
    Information Technology in Human Resource Management: an Empirical Assessment
    (Sage Publications inc, 2010) Mishra, Alok; Akman, Ibrahim
    The present paper begins by introducing a number of observations on the applications of information technology (IT) in the field of human resource management (HRM) in general. This is due to the fact that IT and its wide range of applications have already made their presence felt in this area. This will be followed by a report on the findings of a survey on the present trends in organizations with in the different sectors in Turkey. Although the impact of IT on HRM has long been attracting the interest of academics, no empirical research has ever been realized in this field in Turkey, and few studies have been reported elsewhere. The survey was conducted among the 106 IT managers and professionals from various sectors, based on whose results, the data shows that IT is used extensively in the organizations to perform HRM functions in Turkey's dynamic economy. The results also indicated that, while IT has an impact on all sectors in terms of HRM to certain extent, the types of IT used vary significantly between recruitment, maintenance, and development tasks. However, the empirical results here reveal that these organizations are not applying these technologies systematically and maturely in the performance of HRM functions.
  • Article
    Citation - WoS: 17
    Citation - Scopus: 24
    Iot Platform for Seafood Farmers and Consumers
    (Mdpi, 2020) Jaeger, Bjorn; Mishra, Alok
    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.
  • Article
    Citation - WoS: 16
    Citation - Scopus: 17
    Adopting of Agile Methods in Software Development Organizations: Systematic Mapping
    (Assoc information Communication Technology Education & Science, 2017) Abdalhamid, Samia; Mishra, Alok
    Adoption of agile methods in the software development organization is considered as a powerful solution to deal with the quickly changing and regularly developing business environment and fully-educated customers with constantly rising expectation, such as shorter time periods and an extraordinary level of response and service. This study investigates the adoption of agile approaches in software development organizations by using systematic mapping. Six research questions are identified, and to answer these questions a number of research papers have been reviewed in electronic databases. Finally, 25 research papers are examined and answers to all research questions are provided.
  • Article
    Citation - WoS: 6
    Citation - Scopus: 6
    Green Information Technology (git) and Gender Diversity
    (Gh Asachi Technical Univ Iasi, 2014) Mishra, Alok; Akman, Ibrahim
    Over the past few years, green computing has received an increasing amount of attention since it is considered as one of the critical factors for protecting the environment. This study investigates gender diversity in terms of applying Green Information Technology (GIT) based on the differences between significance tests result for males and females. For this purpose, a survey was conducted among IT professionals from public and private sector organizations since GIT is a new concept and these professionals are expected to have more awareness on this issue. Six factors were included in the analyses. Interestingly, the results indicate that gender diversity exists only when individuals intend to purchase new hardware and when considering the type of IT usage.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 8
    It Service Management (itsm) Education and Research: Global View
    (Tempus Publications, 2015) Yazici, Ali; Mishra, Alok; Kontogiorgis, Paul; Software Engineering
    This article provides an overview of Information Technology Service Management (ITSM) and investigates the education and research activities in this discipline from a global perspective. The objectives of the study are to inform the training organizations (e.g., universities, training institutes) on the current status of the educational activities in ITSM at undergraduate and graduate levels; and to guide the researchers by providing quantitative data on the research activities conducted in the field. In the educational arena, the statistical data showed that, stand-alone undergraduate/graduate programs are becoming popular among the high school graduates with elevated expectations of the market place, in addition to the appreciation of the IT service management area by the IT sector and the public. The results of the research findings provide guidelines for curriculum developers in the design and implementation of courses for the de facto interdisciplinary ITSM degree/certificate training programs and motivate and guide the researchers by providing the most recent quantitative data on the ITSM field. It is one of the first studies to provide education and research trends in ITSM area. The present study adds to this important stream of emerging research area and contributes by advancing the understanding of ITSM education and research issues. This paper advances the current state of knowledge on ITSM education and explores recent research trends in this area which is becoming standard towards providing quality IT services in enterprises.
  • Article
    Citation - WoS: 14
    Citation - Scopus: 25
    Automatic Classification of UML Class Diagrams Using Deep Learning Technique: Convolutional Neural Network
    (Mdpi, 2021) Gosala, Bethany; Chowdhuri, Sripriya Roy; Singh, Jyoti; Gupta, Manjari; Mishra, Alok
    Unified Modeling Language (UML) includes various types of diagrams that help to study, analyze, document, design, or develop any software efficiently. Therefore, UML diagrams are of great advantage for researchers, software developers, and academicians. Class diagrams are the most widely used UML diagrams for this purpose. Despite its recognition as a standard modeling language for Object-Oriented software, it is difficult to learn. Although there exist repositories that aids the users with the collection of UML diagrams, there is still much more to explore and develop in this domain. The objective of our research was to develop a tool that can automatically classify the images as UML class diagrams and non-UML class diagrams. Earlier research used Machine Learning techniques for classifying class diagrams. Thus, they are required to identify image features and investigate the impact of these features on the UML class diagrams classification problem. We developed a new approach for automatically classifying class diagrams using the approach of Convolutional Neural Network under the domain of Deep Learning. We have applied the code on Convolutional Neural Networks with and without the Regularization technique. Our tool receives JPEG/PNG/GIF/TIFF images as input and predicts whether it is a UML class diagram image or not. There is no need to tag images of class diagrams as UML class diagrams in our dataset.
  • Article
    Citation - WoS: 11
    Citation - Scopus: 15
    Stress Detection Using Experience Sampling: a Systematic Mapping Study
    (Mdpi, 2022) Dogan, Gulin; Akbulut, Fatma Patlar; Catal, Cagatay; Mishra, Alok
    Stress has been designated the "Health Epidemic of the 21st Century" by the World Health Organization and negatively affects the quality of individuals' lives by detracting most body systems. In today's world, different methods are used to track and measure various types of stress. Among these techniques, experience sampling is a unique method for studying everyday stress, which can affect employees' performance and even their health by threatening them emotionally and physically. The main advantage of experience sampling is that evaluating instantaneous experiences causes less memory bias than traditional retroactive measures. Further, it allows the exploration of temporal relationships in subjective experiences. The objective of this paper is to structure, analyze, and characterize the state of the art of available literature in the field of surveillance of work stress via the experience sampling method. We used the formal research methodology of systematic mapping to conduct a breadth-first review. We found 358 papers between 2010 and 2021 that are classified with respect to focus, research type, and contribution type. The resulting research landscape summarizes the opportunities and challenges of utilizing the experience sampling method on stress detection for practitioners and academics.
  • Article
    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.