Search results

The digital divide has persisted in California and the USA as a whole at approximately the same level for the past decade. This is despite multiple programs being created and billions of dollars being spent to close it. This paper examines why the efforts to date have been ineffective and to offers policy alternatives that might be more successful.

Using data from three, variable constrained projects in California, this paper examines the effectiveness of information-based outreach efforts at closing the digital divide. The projects tested various outreach and enrollment methods to see which, if any, could increase broadband adoption in low-income households.

This project found that providing low-income households’ information about low-cost broadband offerings was ineffective at closing the digital divide. The findings in this paper were similar to those of two other works that examined the federal Broadband Technology Opportunities Program (BTOP) grants under the American Recovery and Reinvestment Act.

The findings of this paper along with the works cited that evaluated the BTOP program should be enough to change public policy. For the past ten years, efforts to close the digital divide have focused on providing information to low-income households. However, two independent surveys show broadband adoption has remained virtually flat during that period.

The digital divide brings concomitant economic and education harms and challenges that plague those unable to access information, services, educational and employment opportunities with the same ease, speed and sufficiency as their connected peers and neighbors. Those harms exacerbate the already existing education and income divides. This paper shows that without a change in strategy, those harms will persist.

This paper breaks new ground and addresses one of the weaknesses identified in existing research. To the best of author’s knowledge, this is the first paper of its type to use programs designed to generate data that can be empirically evaluated for effectiveness. Prior studies attempted to assess program effectiveness by using data generated from fully implemented government programs. However, those programs contained a vast number of unidentified variables and insufficient data collection. They were not designed to facilitate academic evaluation, and as such made a true effectiveness evaluation challenging.

With the development of digitalization and interconnection, there is a growing need for enterprise customers to ensure the compatibility of the third-party components they are using in the manufacturing process, thus raising the integration requirements for the Industrial Internet platform and its third-party developers. Therefore, our study investigates the optimal integration decision of the Industrial Internet platform while considering its access price, the integration cost, and the net utility derived by enterprise customers from the third-party components.

We model a two-sided Industrial Internet platform that connects customers on the demand side to the developers on the supply side. We then explore the integration decision of the Industrial Internet platform and its important factors by solving the optimal profit function.

First, despite the high integration cost of third-party developers, the platform still chooses to integrate when enterprise customers derive high utility from the third-party components. Second, due to the compatibility effect, charging the enterprise customers a higher price may reduce the platform profits when these customers derive low utility from the third-party components. Third, the platform profits will increase along with the integration cost of third-party developers when it is low in the case where enterprise customers derive low utility from third-party components.

Our findings offer insightful takeaways for the Industrial Internet platform when making integration decisions.

Prepaid mobile Internet is one of the most profitable services that are composed of multiple attributes. The overall utility of Internet service can be broken down into the sum of the utility of individual attribute levels. Based on the multi-attribute theory, rational consumers choose the service that yields the highest utility from a number of possible alternatives. Determining the optimal attribute levels that satisfy consumers' preferences and maximize the total revenue of the firm is a challenging multi-attribute decision problem for any mobile operator. When designing mobile Internet services, adopting a robust composition of services against different realizations of competitors' strategies can bring advantages for network operators. The purpose of this study is to determine the optimal attribute levels of prepaid mobile Internet packages with the aim of maximizing the total revenue of the firm by considering the paradigms of multi-attribute utility theory about consumer choices and the issue of uncertainty in counterpart services offered by the competitors.

This paper formulates the problem of multi-attribute pricing and design of mobile Internet plans in a competitive environment by developing deterministic and robust scenario-based mathematical models and considering the paradigms of multi-attribute utility theory about consumer choices. The proposed robust scenario-based models are based on three different paradigms, including maximizing expected revenue, minimizing the negative deviation from expected revenue and minimizing the maximum regret. A comprehensive numerical analysis is conducted to evaluate and compare the efficiency of the proposed models.

The evaluations reveal that deploying recourse policy can result in higher revenue for the firm when facing uncertainty. By doing sensitivity analysis, this paper shows that consumer preferences for brand attribute and consumers' purchase frequency can influence the revenue of network operators.

This paper develops a novel deterministic multi-attribute product line design (PLD) model to address the problem of determining the price and composition of prepaid mobile Internet plans. Furthermore, the issue of uncertainty in counterpart services offered by the competitors is studied for the first time in the PLD literature.

Access to high-speed Internet is essential for full and consequential participation in the civic, economic, and education systems of modern life. Yet 30% of Californians continue to lack “meaningful Internet access” at home. This digital divide is worse among already disadvantaged communities and prevents rural, lower-income, and disabled individuals from fully participating in the civic, economic, and education systems of life in 2018. This chapter establishes the magnitude of the digital divide, examines the factors that contribute to the Divide, and looks at which groups are most affected. Successful government programs that invested in utility infrastructure and adoption, such as the Rural Electrification Act, the American Reinvestment and Recovery Act and the California Advanced Services Fund, are examined to provide a foundation for broadband specific policy recommendations. The chapter sets up a framework for policy recommendations by segmenting the population based upon the concepts of material and motivational access and establishing meaningful Internet access as the goal for policy-makers. The chapter puts forth a number of specific policy recommendations to address the technological disparity and prevent it from furthering the economic and educational divides.

Grounded in Media System Dependency theory, this work investigates the impact of new media on political efficacy. It suggests that dependence on online resources affects people’s perceptions about the democratic potential of the Internet. Using structural equation modeling, the study tests the relationship between political attitudes and the perceived utility of the Web. The analysis employs measures that take into consideration the facilitating role of communication technologies. Results indicate that online political efficacy is associated with individual views about the comprehensiveness and credibility of new media. Efficacy is also linked to the perceived ability of online tools to aid the maintenance of ideologically homogenous social networks. The intensity of Internet dependency relations is found to be predicted by the perceived comprehensiveness – but not credibility – of online news.

In an effort to better speculate whether a certain set of factors plays a role in information professionals’ choice of Internet search tools, this article describes a survey conducted by the author of MSLS/MSIS graduate students and professional librarians at the University of North Carolina at Chapel Hill. Background discussion on Internet search tool design, usability, field testing, and future development is provided. Two sets of factors were defined for this study, one describing utility functions of search tools, the other describing the convenience or ease of use of search tools. The survey reveals a trend in choosing a preferred Internet search tool based on utility factors as opposed to convenience factors. It also suggests a preference for search engines as opposed to subject catalogs. Comprehensive, encompassing results are found to be more important than ease of use of a particular search tool.

Internet referral services are a common form of online marketing operating activities. To incentivize infomediaries and improve referral performance, brand retailers typically apply the cost-per-click (CPC) or the cost-per-sale (CPS) payments. The purpose of this paper is to investigate the effect of referral services on the optimal contract with CPC or CPS payments.

This paper studies a mechanism design problem for internet referral services. To maximize the expected utility of the brand retailer, an uncertain contract model is established in which the brand retailer's assessment of the infomediary's referral service capability is characterized as an uncertain variable. Then equivalent models under CPC and CPS payments are presented to obtain the optimal solutions.

The results demonstrate that under CPC payments, as the referral service capability increases, the optimal sales volume is increasing, and the optimal transfer payment first shows a declining and then a rising trend. The brand retailer is less likely to raise the optimal transfer payment for the infomediary given a higher CPC revenue-sharing fee percentage, which is counterintuitive. Under CPS payments, the optimal sales volume and transfer payment are also increasing in the referral service capability. In addition, an increase in the click-through rate leads to the infomediary's incremental marginal utility.

The value of this research is its application of incentive contracts to the internet referral services considering CPC or CPS payments. The results of this research can serve as a guide for retailers and infomediaries in their decision-making around online retailing.

Global reach, together with rapidly increasing broadband coverage, makes the internet a potentially interesting distribution channel for video highlights and full-match viewings. This study investigateswillingness to pay as well as consumer preferences for type of report to derive marketing implications for soccer clubs. Survey results from more than 12,000 respondents supporting seven soccer clubs in the German first and second divisions underline the potential of this new distribution channel in finding a high average willingness to pay.

The Internet marketing techniques detailed in this article provide tactics to maximize the utility of the Internet as a vehicle for marketing communications. We found that Internet marketers today must provide increasingly sophisticated users with an experience not easily replicated by conventional media. Furthermore, techniques utilized within the homepage of a company must accomplish specific marketing objectives. Over 50 homepages across various industries were visited and evaluated for this study. Quantitative analysis identified current industry utilization of Internet marketing techniques, as well as those techniques best suited to reach Internet user types and to meet marketing objectives. General guidance is given to determine which techniques are best suited to accomplish these ends.

Using experimental design and conjoint analysis, this paper studies the risk perception of Singaporean consumers on Internet shopping, and tests the effectiveness of several risk‐reducing strategies that Internet marketers could use in promoting online shopping among consumers. The results show that Singaporean consumers with a higher degree of risk aversion than others tend to perceive Internet shopping to be a risky activity. However, Internet marketers could rely on using reference group appeal as the most preferred risk relievers for this group of consumers, particularly by getting expert users to endorse the products involved. In addition, the marketer’s reputation, the brand’s image, and specific warranty strategies are also effective risk relievers for the potential Internet shoppers.