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Surveillance is the emerging concept in the current technology, as it plays a vital role in monitoring keen activities at the nooks and corner of the world. Among which moving object identifying and tracking by means of computer vision techniques is the major part in surveillance. If we consider moving object detection in video analysis is the initial step among the various computer applications. The main drawbacks of the existing object tracking method is a time-consuming approach if the video contains a high volume of information. There arise certain issues in choosing the optimum tracking technique for this huge volume of data. Further, the situation becomes worse when the tracked object varies orientation over time and also it is difficult to predict multiple objects at the same time. In order to overcome these issues here, we have intended to propose an effective method for object detection and movement tracking. In this paper, we proposed robust video object detection and tracking technique. The proposed technique is divided into three phases namely detection phase, tracking phase and evaluation phase in which detection phase contains Foreground segmentation and Noise reduction. Mixture of Adaptive Gaussian (MoAG) model is proposed to achieve the efficient foreground segmentation. In addition to it the fuzzy morphological filter model is implemented for removing the noise present in the foreground segmented frames. Moving object tracking is achieved by the blob detection which comes under tracking phase. Finally, the evaluation phase has feature extraction and classification. Texture based and quality based features are extracted from the processed frames which is given for classification. For classification we are using J48 ie, decision tree based classifier. The performance of the proposed technique is analyzed with existing techniques k-NN and MLP in terms of precision, recall, f-measure and ROC.

Biometric scans using fingerprints are widely used for security purposes. Eventually, for authentication purposes, fingerprint scans are not very reliable because they can be faked by obtaining a sample of the fingerprint of the person. There are a few spoof detection techniques available to reduce the incidence of spoofing of the biometric system. Among them, the most commonly used is the binary classification technique that detects real or fake fingerprints based on the fingerprint samples provided during training. However, this technique fails when it is provided with samples formed using other spoofing techniques that are different from the spoofing techniques covered in the training samples. This paper aims to improve the liveness detection accuracy by fusing electrocardiogram (ECG) and fingerprint.

In this paper, to avoid this limitation, an efficient liveness detection algorithm is developed using the fusion of ECG signals captured from the fingertips and fingerprint data in Internet of Things (IoT) environment. The ECG signal will ensure the detection of real fingerprint samples from fake ones.

Single model fingerprint methods have some disadvantages, such as noisy data and position of the fingerprint. To overcome this, fusion of both ECG and fingerprint is done so that the combined data improves the detection accuracy.

System security is improved in this approach, and the fingerprint recognition rate is also improved. IoT-based approach is used in this work to reduce the computation burden of data processing systems.

The purpose of this paper is to investigate the market readiness to adopt the Cloud as the future ERP platform, by using the analytic hierarchy process (AHP) decision support methodology.

Interviewing is conducted on the convenient sample, of enterprises from various industries. The interview is conducted through expert telephone interview and self-administered questionnaire. Results are then used as a basis for forming the weight factors necessary for the AHP decision model. Data are analyzed and synthesized using AHP and Expert Choice.

Results demonstrate a huge interest for TCO reduction, but also a concern for data privacy and availability. Large enterprises want their data on local servers, while smaller companies tend to act as “first adopters”, mainly because of the cost benefits that Cloud offers. Finally, vendors see the hybrid solutions as the most suitable approach for the overall market, at least while current Cloud obstacles exist.

This research does not aim to answer the question what is the best solution for a particular industry. Instead, it assumes the general approach, which answers the question what would in general be the adequate solution for the SME and how much are SMEs ready to adopt the ERP in the Cloud. A further research is necessary to validate these results in practice. That research should be industry specific, i.e. narrowed to one industry only. Then, it would be possible to answer the question what is the best solution for high-tech SMEs.

This paper summarizes Cloud pros and cons useful for decision makers to establish a starting point for IT reorganization. Additionally, AHP results provide some indications of the market's perception regarding Cloud and ERP, while vendors' statements about ERP-Cloud solutions provide an interesting glimpse of the ERP market in the next few years.

Market demands constant flexibility and cost effectiveness, forcing companies to adapt faster than ever. Therefore, there is a significant risk for first adopters and their business if they adopt an inadequate solution. This paper offers a high-level overview of the SME's market understanding and willingness to adopt ERP in the Cloud idea, and it demonstrates how the AHP decision support methodology can be used to assess the readiness of enterprises to adopt the Cloud-ERP solution.

The purpose of this paper is first, to develop a methodological framework for conducting a comprehensive literature review on an empirical phenomenon based on a vast amount of papers published. Second, to use this framework to gain an understanding of the current state of the enterprise resource planning (ERP) research field, and third, based on the literature review, to develop a conceptual framework identifying areas of concern with regard to ERP systems.

Abstracts from 885 peer‐reviewed journal publications from 2000 to 2009 have been analysed according to journal, authors and year of publication, and further categorised into research discipline, research topic and methods used, using the structured methodological framework.

The body of academic knowledge about ERP systems has reached a certain maturity and several different research disciplines have contributed to the field from different points of view using different methods, showing that the ERP research field is very much an interdisciplinary field. It demonstrates that the number of ERP publications has decreased, and it indicates that the academic interest in ERP is driven by an interest in an empirical phenomenon rather than that ERP is a new research discipline. Different research topics of interest are identified and used in developing a conceptual framework for “areas of concern” regarding ERP systems. Finally the usefulness of the framework is confirmed by analysing one specific aspect of ERP research; business process reengineering (BPR) to establish which theories different authors and journals have used in their efforts to explore BPR and ERP.

The findings of the literature study, the structured methodological framework for comprehensive literature review and the conceptual framework identifying different areas of concern are believed to be useful for other researchers in their effort to obtain an overview of the evolution of the ERP research field and in positioning their own ERP research.

The paper provides guidance for researchers with insight into what has been published, where to publish ERP‐related research and how to study it, and in positioning their own interest in ERP systems in the interdisciplinary research field. Access to the EndNote database containing bibliographical data of more than 880 papers can be used in future research and literature analysis. For managers, the conceptual framework can be useful in increasing their understanding of the complexity and areas of concern with regard to the ERP system.

The paper presents a structured methodological framework for analysing a vast amount of academic publications with an interest in an empirical phenomenon, demonstration of how academic interdisciplinary interest in ERP has evolved over time and reached a certain amount of maturity and a conceptual framework of areas of concern with regard to ERP systems.

The purpose of this paper is to describe and analyze the benefits of the application of a requirements engineering framework to assist Enterprise Resource Planning (ERP) development. This framework combines the technology-driven and the process-driven approaches for requirements analysis and implementation. Specific business process modeling methods enhance the framework and assist the formulation of the functional specifications of the ERP system and the management of requirements.

A case study strategy was chosen as the most appropriate method to answer the research question and test the theoretical propositions. The case study’s unit of analysis is a Greek manufacturing company and its ERP implementation project. A requirements engineering framework enhanced with business process modeling methods was applied and the results were evaluated using metrics for ERP implementation success. Data were collected using multiple sources of evidences, including interviews with various stakeholders, structured questionnaires, direct observations, vendors’ functionality papers and company’s documentation.

This study proves that the configuration of ERP’s reference models together with the adjustments of organization’s processes, provided through a structured requirements engineering framework can lead to reliable functional specifications, a smooth transition to an ERP system and, eventually, to successful ERP implementation, concerning its alignment with requirements.

A single case study is conducted in a typical manufacturing company, providing opportunities for further research in other industries, testing in parallel well-defined requirements and other success factors for ERP implementation.

The paper fulfils the identified needs for applied methodologies and frameworks for requirements engineering which can assist successful ERP implementations.

Green transformation is more than simply a trend; it is a way of life, a set of habits, a field of knowledge and a dedication to resource conservation. Going green is surely a creative and transformative process for both individuals and organizations. This paper aims to “identify,” “analyse” and “categorise” the readiness factors for green transformation process in health care using total interpretive structural modelling (TISM) and neutrosophic-MICMAC.

To address the study objectives, the study used TISM and neutrosophic-MICMAC analysis. To identify the readiness factors, a literature study was conducted, and the factors were face-validated by the healthcare experts. The factors influence on one another were captured by using a scheduled interview with a closed ended questionnaire. The TISM addressed the identification and analysing of factors and the categorization and ranking the readiness factors is addressed by using neutrosophic-MICMAC analysis.

This study identified 11 green transformation process readiness factors for healthcare organizations. The study states that the key factors or driving factors are awareness of green governance principle, environment leadership and management, green gap analysis, information and communication technology and innovation dynamics.

The factor ranking is sensitive to the respondents’ ratings. The study relied on the past literature and experts’ opinion may result in the subjective biases. The complex nature of healthcare ecosystem challenges to capture all the factors. The study focussed on Indian hospitals.

Study significantly impacts the healthcare practitioners, academicians and policymakers by providing critical insights into the readiness factors required for the healthcare green transformation process. The study offers a better understanding of the crucial or key or driving factors that aid in embracing green and sustainable practices.

Identifying a gap in conceptual and theoretical frameworks for green transformation readiness factors in healthcare organizations and in Indian context. The study addresses this gap by aiming to create a thorough theoretical framework and highlighted by its focus on Indian hospitals.

Significant numbers of business process management (BPM) projects fail. Their failure is attributed toward many factors. Among them, low quality of BPM is one reason. Some of the tasks in BPM have their roots in business process reengineering (BPR). The literature has cited many different critical success and failure factors for quality BPM and BPR. Lack of software tools is one of the technology-oriented factors that results in poor BPM and BPR. This paper aims to build a generic feature set offered by software tools for process modeling their analysis implementation and management. It presents an objective analysis in identifying weaknesses and strengths of these tools, primarily for BPM.

A method is proposed to evaluate the quality of process reengineering and management delivered by software tools. It consists of four phases: feature extraction, tool selection, data extraction and tool evaluation.

The data gathered is quantified to test research hypotheses, the results are statistically significant and highlight multiple areas for future improvements. Moreover, the cluster visualizations created also help to understand the strengths and weaknesses of BPM/BPR tools.

Despite the research approach used, there is a chance of subjectivity when it comes to evaluating different tools.

The paper includes implications for practitioners and researchers for choosing appropriate software tool for process modeling, analysis, implementation and management, matching their requirements with BPM and BPR. It also identifies features that are missing in these tools.

This paper provides a comprehensive analysis of BPM and supporting tools, relates them to key stages of BPM life cycle and BPR methodologies. It also identifies various areas for further development in these tools.

Despite more than two decades of experience regarding the adoption and implementation of enterprise resource planning (ERP) systems in organizations, ERPs success is questionable. Though ERPs success stories are published in past research studies, the failure rate of ERP systems is relatively high. The purpose of this study was to find issues and challenges and assess the degree of criticality of these issues/challenges faced by organizations during ERP implementation.

For doing systematic review/research synthesis systematic literature review (SLR) was carried out considering research studies published within the time period, i.e. 1999-2018. Three major steps such as planning, conducting and reporting were followed to proceed further in this study. This study attempted to accomplish a critical review of 53 studies out of 103 studies identified, which were published in reputable journals to synthesize the existing literature in the ERP domain. The studies selected have almost addressed different challenges/issues faced by small and large organizations during ERP implementation.

Research synthesis/SLR led to the identification of 31 issues/challenges, which may be termed as most critical based on their occurrence/frequency in past studies included. The topmost ten issues/challenges amongst 31 identified include top management approach, change management, training and development, effective communication, system integration, business process reengineering, consultants/vendors selection, project management, project team formation, team empowerment/skilled people and data conversing/migration. However, other issues/challenges identified such as security risks/data security, cloud awareness, functionality limitations, service level agreements and subscription expenses are more related to cloud ERPs.

The current study is unique in its kind, focusing on the issues and challenges faced by organization during implementing ERP projects. Moreover, this study contributes to understanding and further analyzing management capabilities for developing remedial measures while planning the implementation of an enterprise system in their organizations prior to the occurrence of different issues and challenges ahead. The study also led to understanding and explaining socio-technical issues and their severity.

This research aims to improve supply chain management performance through the successful usage of ERP system. This can be through investigating the relationship between enterprise resource planning (ERP) system and supply chain management (SCM) performance in the context of Malaysian manufacturing companies that use ERP system.

The questionnaire survey was posted to the Malaysian manufacturing companies that are using ERP system in order to investigate the relationship between ERP system and SCM performance. The respondents of this study were the MIS or IT executives. A total of 80 usable responses were received and used in the analysis.

The findings of this research indicated that there is a positive and significant relationship between ERP system i.e. (integration, material management, production planning, and controlling), and SCM performance. The workflow management, however, does not have a significant relationship with SCM performance. The findings of this study imply that the successful implementation and the effective usage of ERP system can contribute toward enhancing supply chain management performance in many ways such as, integration of internal business processes, enhancement of information flow among different departments inside the company, improvement of the company's relationships and collaboration with outsourcing suppliers, customers, and supply chain partners.

This research focuses only on post‐implementation of ERP system life cycle, where ERP system passes through three implementation stages of system life cycle and that includes pre‐implantation stage, implementation stage, and finally post‐implementation stage. Two or three stages of ERP system life cycle could be investigated simultaneously.

There should be many success records in ERP system and this is to prove to companies that ERP systems can contribute toward improving their overall business performance. Therefore, this research encourages companies to adopt ERP systems and then contribute to technology diffusion. The finding of this study supports this justification and records a new success of ERP systems in Malaysian manufacturing companies.

The results of this study will enable companies to achieve optimum usage of ERP system after the implementation stage and help to avoid system failure and achieve better SCM performance. The study contributes toward technology diffusion between companies through reducing the likelihood of ERP systems failure, and therefore introduces ERP systems to other manufacturing companies in Malaysia.

The purpose of this paper is to explore how success emerges in a business process change initiative, given the often conflicting forces and challenges present in a workflow implementation. A detailed reflective analysis provides an opportunity to explore how different process enablers interact to achieve non‐obvious outcomes.

Data collection entailed semi‐structured interviews, observation of project activities, and analysis of project documentation for a workflow project at a public sector organisation (AustGov). Data collection occurred from project initiation to implementation and is analysed utilizing the process enterprise maturity model.

Despite encountering numerous issues, the process workflow went live as planned; the project was a success. The case demonstrates how project drivers interact in context to provide a coherent explanation of project outcomes. That the project did not fail, despite encountering obstacles and challenges, is attributed to the maturity of critical process enablers within the portfolio.

The AustGov case study provides an exemplar of how and why interrelationships between process enablers and project context matter. The case analysis provides a rich study of a workflow project, and demonstrates the suitability of the process audit framework to explain outcomes of business process change projects.

The findings demonstrate the importance of managing interdependencies and competing priorities between process enablers to successfully implement business process change.

The case provides a rich example of the implementation of business process change using workflow software. The authors find that achieving successful outcomes in a challenging environment is best understood when viewed from the perspective of the maturity of a portfolio of project enablers; also, that attention needs to be paid to developing advanced maturity in those enablers most closely related to the specific challenges evident in the project context.