Influence of the Web Vendor\u27s Interventions on Privacy-related Behaviors in E-commerce

Concern about information privacy is considered one of the most important issues in e-commerce. To deal with this concern in the context of self-regulation, e-commerce web sites have implemented measures such as posting privacy policies and displaying third party seals. The purpose of this study is to examine the impact of the level at which a web site addresses privacy has on the users\u27 perceptions and behavioral intentions during the initial interaction with the web site. A research model is presented and empirically tested by means of an experiment. The study showed that web vendors\u27 interventions had an overall effect on the user perceptions of information privacy in the site. However, having more privacy elements in the web site did not increase the favorable perceptions of the web site. The research model also incorporated other privacy related constructs such as general concern about online privacy and type of information

COVID‑19 vaccine distribution: exploring strategic alternatives for the greater good

The dire state of the COVID-19 pandemic crisis symbolized the urgency for efficient distribution and administration of vaccines to combat the virus as the most urgent public health service. This paper presents a prototype multi-criteria decision support model based on goal programming that can effectively support vaccination plans for the greater good of society. The optimization goals of the model include minimizing the number of fatalities and risk of spreading the disease, while complying with government health agency’s priority guidelines for vaccination. This study applied the model to a real-world dataset to demonstrate how it can be effectively applied as a decision support tool for vaccine distribution plans and manage future pandemics

Towards a Framework to Understand M-Government

The emergence of mobile technology has enabled the transition from e-government to m-government. Despite the great potential and positive expectation for m-government applications, m-government is still in the infancy stage and its applications are limited. This paper bases on the theory of task-technology-fit (TTTF) and proposes a framework to understand mobile technology and its implications in m-government applications. Based on the framework proposed, we reviewed mobile technology and government tasks, and categorized current m-government applications. Benefits and challenges of m-government applications are also discussed

Developing an innovative entity extraction method for unstructured data

The main goal of this study is to build high-precision extractors for entities such as Person and Organization as a good initial seed that can be used for training and learning in machine-learning systems, for the same categories, other categories, and across domains, languages, and applications. The improvement of entities extraction precision also increases the relationships extraction precision, which is particularly important in certain domains (such as intelligence systems, social networking, genetic studies, healthcare, etc.). These increases in precision improve the end users’ experience quality in using the extraction system because it lowers the time that users spend for training the system and correcting outputs, focusing more on analyzing the information extracted to make better data-driven decisions

Innovation for creating a smart future

tToday, we live in a dynamic and turbulent global community. The wave of mega-trends, including rapidchange in globalization and technological advances, is creating new market forces. For any organizationto survive and prosper in such an environment, innovation is imperative. However, innovation is nolonger just for creating value to benefit individuals, organizations, or societies. The ultimate purpose ofinnovation should be much more far reaching, helping create a smart future where people can enjoy thebest quality of life possible. Thus, innovation must search for intelligent solutions to tackle major socialills, seek more proactive approaches to predict the uncertain future, and pursue strategies to removebarriers to the smart future. This study explores the detailed requirements of a smart future, includingboth hardware types and soft social/cultural components

Developing an innovative entity extraction method for unstructured data

The main goal of this study is to build high-precision extractors for entities such as Person and Organization as a good initial seed that can be used for training and learning in machine-learning systems, for the same categories, other categories, and across domains, languages, and applications. The improvement of entities extraction precision also increases the relationships extraction precision, which is particularly important in certain domains (such as intelligence systems, social networking, genetic studies, healthcare, etc.). These increases in precision improve the end users’ experience quality in using the extraction system because it lowers the time that users spend for training the system and correcting outputs, focusing more on analyzing the information extracted to make better data-driven decisions

E -engineering and inter -organizational relationships: An empirical study

This is an empirical study of E-engineering based inter-organizational relationships and their impact on organizational performance. The rapid digitalization and globalization that is going on today have necessitated a new and revolutionary organizational innovation. This organizational innovation seeks drastic improvements much like BPR (business process reengineering) did in the 1990s, except to a much greater in degree in both scope and speed. Referred to as E-engineering, it requires that the organizations reinvent the way they do business such that they fully incorporate the advantages of the Internet. E-engineering involves significant changes in three areas: interpersonal relations (internal, external, vertical, and horizontal); interfunctional processes; and interorganizational relationships. While all three areas offer benefits to the organization, I believe that interorganizational collaborations that encompass and take advantage of the Internet offer the greatest potential and the greatest challenge. Many anecdotal stories relating the benefits and changes in the ways in which organizations enter into relationships and cooperate with each other are available. However, an empirical study supporting these anecdotal stories has not yet been conducted. Several hypotheses were developed to determine the impact of the Internet on: the frequency and opportunity to engage in interorganizational relationships; the importance and obtainability of selection criteria used by organizations to select their partners; the quality of relationships with partners, customers and professional communities; and the effect on overall organizational performance. To test these hypotheses, data were collected from a cooperative effort of the Gallup Organization and UNL. Results indicate the Internet has increased: the frequency of interorganizational activities and provided more opportunities for finding partners regardless of the type of interorganizational relationship sought; and the overall importance of the selection criteria used to find partners and made it easier to achieve them. The Internet has intensified the qualitative aspects of relationships with partners, customers, and professional communities. These changes have played a major role in increasing overall organizational performance. In-depth discussions regarding these results were conducted and the implications for academicians and practitioners were presented

Social Commerce Design: A Framework and Application

Social commerce is a new business model of e-commerce, which utilizes of Web 2.0 technologies and social media to support social-related exchange activities. While its popularity, being a subset of e-commerce, has been increasing tremendously since its introduction in 2005, there exists a general paucity of research on its framework and its applications’ effectiveness, especially in areas beyond the common social commerce practices. This study develops a comprehensive social commerce framework that has four key components: customer, merchant, platform and context. Then the study applies the cross-case synthesis technique to analyze the usability and generalizability of the framework by applying it to social commerce of two (one small and the other global) successful companies. We use the negative case analysis approach to assess the importance of the new component context by comparing a social commerce failure case with the two successful companies. Finally, we introduce a set of metrics for social commerce design. The proposed framework and its metrics are used to guide the design and evaluation of social commerce. This study makes a contribution to the social commerce literature in proposing a new design framework and to practice in providing insights for effective strategies of the online social business

Towards a Framework to Understand M-Government

The emergence of mobile technology has enabled the transition from e-government to m-government. Despite the great potential and positive expectation for m-government applications, m-government is still in the infancy stage and its applications are limited. This paper bases on the theory of task-technology-fit (TTTF) and proposes a framework to understand mobile technology and its implications in m-government applications. Based on the framework proposed, we reviewed mobile technology and government tasks, and categorized current m-government applications. Benefits and challenges of m-government applications are also discussed