{"title":"Obstacles to Innovation – Is There a Need for Consensus?","authors":"Saltanat Akhmadi, Mariza Tsakalerou","doi":"10.1109/TEMSCON47658.2020.9140075","DOIUrl":"https://doi.org/10.1109/TEMSCON47658.2020.9140075","url":null,"abstract":"The innovative performance of a firm is limited by a number of factors which hamper the development and implementation of innovation. These obstacles to innovation decrease or even prevent a firm’s propensity to innovate, and do impact business performance. Over the last twenty years, a multitude of innovation studies have emerged attempting to identify the various obstacles to innovation and to measure their relative importance. These studies collect and analyze the literature as well as reports, data and opinions of the actors involved, to find the factors that impede innovation. More than ten systematic reviews and meta-studies of the relevant literature in recent years reveal that, while a broadly accepted classification has emerged, there is no discernible consensus on the relative importance of the various obstacles. In this paper, a systematic review of these systematic reviews and meta-studies is performed to identify themes and variations in importance. The analysis reveals that the importance of the obstacles to innovation may vary across discriminants such as firm size, type of industry, private or public ownership and economic framework of operation. The paper advances the thesis that there may be no need for consensus as innovation is a complex and interactive process between a firm and the context in which the firm operates.","PeriodicalId":224168,"journal":{"name":"2020 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123058523","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":"Paradigm Shift of Social Enterprise in India","authors":"Ashok Chopra","doi":"10.1109/TEMSCON47658.2020.9140133","DOIUrl":"https://doi.org/10.1109/TEMSCON47658.2020.9140133","url":null,"abstract":"A Social Enterprise can be defined as an enterprise/organization which undertakes commercial strategies benefiting social, financial, and sustainable well - being of society and mankind at large with major focus on profit maximization for all key stakeholders through social impact. The objective of social enterprise could be structured around for commercial or noncommercial. The social enterprise takes form depending upon which country its existence and legal form is available in. The legal form a social enterprise normally takes includes home based work, a cooperative, social enterprise, reserve industry, benefit cooperation, community based organization limited by guarantee, charity organization, an individual effort of a person, passion, social businesses, and many more. Obviously, social enterprises have both social and business objectives but normally both objectives are embedded within each other and it is this inter wounded objective which differentiates a social enterprise from a pure commercial enterprise. Since social enterprises normally provide income generation opportunities for less fortunate and vulnerable people living in societies, they are created for a special social purpose but in financially sustainable manner. The income generated from sales is further reinvested in the mission for which they were created. Social Organizations do not depend upon charities and generosity and can on their own sustain for long period in contrast to Not-for-Profit enterprises/organizations which do depend upon grant and charities. Social Enterprise model is thus replicable across other parts of the physical society. In the name of CSR (Corporate Social Responsibility), especially in today’s scenario, many major organizations are trying to show more for societal benefit than providing mere products or services. In India, the concept of social enterprises is increasing, and many organizations are pivoting to show more CSR and providing income opportunities to BPL (Below Poverty Line) community.","PeriodicalId":224168,"journal":{"name":"2020 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125738418","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":"Influence of organizational culture in the adoption of agile","authors":"Krishna Prakash Jivan, A. Marnewick, N. Joseph","doi":"10.1109/TEMSCON47658.2020.9140091","DOIUrl":"https://doi.org/10.1109/TEMSCON47658.2020.9140091","url":null,"abstract":"This research investigates the influence of organizational culture in the adoption of agile. Agile methodologies are increasingly being adopted to leverage its benefits. However, to do so, the organizational culture needs to be conducive to realize the benefits associated with agile methodologies. This is a result of organizational culture affecting the adoption and use of agile methodologies. As a result, an organization that has a culture that is not aligned with agile principles and values could result in such an organization not realizing the full benefits of agile methodologies. The study compares the culture from the area under investigation to the cultures that have been determined to be conducive to realizing the full benefits from agile methodologies. It was found that the culture present in the area of the investigation had a limited positive influence on the use and adoption of agile methodologies. This research paper allows organizations to make an informed decision on the use of agile methodologies based on their culture. This will help to determine if a culture change is required to realize the benefits of agile methodologies.","PeriodicalId":224168,"journal":{"name":"2020 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131105597","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}
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Y. Massoud
{"title":"Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems","authors":"Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Y. Massoud","doi":"10.1109/TEMSCON47658.2020.9140078","DOIUrl":"https://doi.org/10.1109/TEMSCON47658.2020.9140078","url":null,"abstract":"The wide spread of mobile devices has enabled a new paradigm of innovation called Mobile Crowdsourcing (MCS) where the concept is to allow entities, e.g., individuals or local authorities, to hire workers to help from the crowd of connected people, to execute a task or service. Some complex tasks require the collaboration of multiple workers to ensure its successful completion. In this context, the task requester needs to hire a group of socially connected and collaborative workers that, at the same time, have sufficient skills to accomplish the task. In this paper, we develop two recruitment strategies for collaborative MCS frameworks in which, virtual teams are formed according to four different criteria: level of expertise, social relationship strength, recruitment cost, and recruiter’s confidence level. The first proposed strategy is a platform-based approach which exploits the platform knowledge to form the team. The second one is a leader-based approach that uses team members’ knowledge about their social network (SN) neighbors to designate a group leader that recruits its suitable team. Both approaches are modeled as integer linear programs resulting in optimal team formation. Experimental results show a performance trade-off between the two virtual team grouping strategies when varying the members SN edge degree. Compared to the leader-based strategy, the platform-based strategy recruits a more skilled team but with lower SN relationships and higher cost.","PeriodicalId":224168,"journal":{"name":"2020 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"508 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132119697","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":"Leveraging Personal Navigation Assistant Systems Using Automated Social Media Traffic Reporting","authors":"Xiangpeng Wan, Hakim Ghazzai, Y. Massoud","doi":"10.1109/TEMSCON47658.2020.9140144","DOIUrl":"https://doi.org/10.1109/TEMSCON47658.2020.9140144","url":null,"abstract":"Modern urbanization is demanding smarter technologies to improve a variety of applications in intelligent transportation systems to relieve the increasing amount of vehicular traffic congestion and incidents. Existing incident detection techniques are limited to the use of sensors in the transportation network and hang on human-inputs. Despite of its data abundance, social media is not well-exploited in such context. In this paper, we develop an automated traffic alert system based on Natural Language Processing (NLP) that filters this flood of information and extract important traffic-related bullets. To this end, we employ the fine-tuning Bidirectional Encoder Representations from Transformers (BERT) language embedding model to filter the related traffic information from social media. Then, we apply a question-answering model to extract necessary information characterizing the report event such as its exact location, occurrence time, and nature of the events. We demonstrate the adopted NLP approaches outperform other existing approach and, after effectively training them, we focus on real-world situation and show how the developed approach can, in real-time, extract traffic-related information and automatically convert them into alerts for navigation assistance applications such as navigation apps.","PeriodicalId":224168,"journal":{"name":"2020 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127432108","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":"Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction","authors":"Xiangpeng Wan, Hakim Ghazzai, Y. Massoud","doi":"10.1109/TEMSCON47658.2020.9140132","DOIUrl":"https://doi.org/10.1109/TEMSCON47658.2020.9140132","url":null,"abstract":"In this paper, we propose two automated text processing frameworks specifically designed to analyze online reviews. The objective of the first framework is to summarize the reviews dataset by extracting essential sentence. This is performed by converting sentences into numerical vectors and clustering them using a community detection algorithm based on their similarity levels. Afterwards, a correlation score is measured for each sentence to determine its importance level in each cluster and assign it as a tag for that community. The second framework is based on a question-answering neural network model trained to extract answers to multiple different questions. The collected answers are effectively clustered to find multiple distinct answers to a single question that might be asked by a customer. The proposed frameworks are shown to be more comprehensive than existing reviews processing solutions.","PeriodicalId":224168,"journal":{"name":"2020 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115151081","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}
Najmeddine Dhieb, Hakim Ghazzai, Hichem Besbes, Y. Massoud
{"title":"Scalable and Secure Architecture for Distributed IoT Systems","authors":"Najmeddine Dhieb, Hakim Ghazzai, Hichem Besbes, Y. Massoud","doi":"10.1109/TEMSCON47658.2020.9140108","DOIUrl":"https://doi.org/10.1109/TEMSCON47658.2020.9140108","url":null,"abstract":"Internet-of-things (IoT) is perpetually revolutionizing our daily life and rapidly transforming physical objects into an ubiquitous connected ecosystem. Due to their massive deployment and moderate security levels, those devices face a lot of security, management, and control challenges. Their classical centralized architecture is still cloaking vulnerabilities and anomalies that can be exploited by hackers for spying, eavesdropping, and taking control of the network. In this paper, we propose to improve the IoT architecture with additional security features using Artificial Intelligence (AI) and blockchain technology. We propose a novel architecture based on permissioned blockchain technology in order to build a scalable and decentralized end-to-end secure IoT system. Furthermore, we enhance the IoT system security with an AI-component at the gateway level to detect and classify suspected activities, malware, and cyber-attacks using machine learning techniques. Simulations and practical implementation show that the proposed architecture delivers high performance against cyber-attacks.","PeriodicalId":224168,"journal":{"name":"2020 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125600893","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}
Abdullah Khanfor, Aymen Hamrouni, Hakim Ghazzai, Ye Yang, Y. Massoud
{"title":"A Trustworthy Recruitment Process for Spatial Mobile Crowdsourcing in Large-scale Social IoT","authors":"Abdullah Khanfor, Aymen Hamrouni, Hakim Ghazzai, Ye Yang, Y. Massoud","doi":"10.1109/TEMSCON47658.2020.9140085","DOIUrl":"https://doi.org/10.1109/TEMSCON47658.2020.9140085","url":null,"abstract":"Spatial Mobile Crowdsourcing (SMCS) can be leveraged by exploiting the capabilities of the Social Internet-of-Things (SIoT) to execute spatial tasks. Typically, in SMCS, a task requester aims to recruit a subset of IoT devices and commission them to travel to the task location. However, because of the exponential increase of IoT networks and their diversified devices (e.g., multiple brands, different communication channels, etc.), recruiting the appropriate devices/workers is becoming a challenging task. To this end, in this paper, we develop a recruitment process for SMCS platforms using automated SIoT service discovery to select trustworthy workers satisfying the requester requirements. The method we purpose includes mainly two stages: 1) a worker filtering stage, aiming at reducing the workers’ search space to a subset of potential trustworthy candidates using the Louvain community detection algorithm (CD) applied to SIoT relation graphs. Next, 2) a selection process stage that uses an Integer Linear Program (ILP) to determine the final set of selected devices/workers. The ILP maximizes a worker efficiency metric incorporating the skills/specs level, recruitment cost, and trustworthiness level of the recruited IoT devices. Selected experiments analyze the performance of the proposed CD-ILP algorithm using a real-world dataset and show its superiority in providing an effective recruitment strategy compared to an existing stochastic algorithm.","PeriodicalId":224168,"journal":{"name":"2020 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131396391","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}