NOAA weather wire service (NWWS).

"NOAA Weather Wire Service is part of National Disaster Warning Communication System (NADWARN)."

NOAA, a young agency with an historic tradition of service to the nation

Mode of access: Internet.

At your service : the research and survey fleet of the National Oceanic and Atmospheric Administration /

Shipping list no.: 86-450-P.

Guide to service industry statistics and related data.

Mode of access: Internet.

Wastewater treatment systems for safety rest areas /

Mode of access: Internet.

1982 census of service industries.

"SC82-I-1-[SC82-I-5]."

Compilation of selected public health laws: including particularly the Public health service act, the Clean air act, the Solid waste disposal act, the Mental retardation facilities and community mental health centers construction act, and the Narcotic addict rehabilitation act, the Federal food, drug, and cosmetic act, the Federal hazardous substances act, and the fair packaging and labeling act.

Prepared for the use of the Senate Committee on Labor and Public Welfare and the House Committee on Interstate and Foreign Commerce.

Electronic commerce adoption:a study of business-to-business practice in Saudi Arabia

Electronic commerce (e-commerce) has become an increasingly important initiative among organisations. The factors affecting adoption decisions have been well-documented, but there is a paucity of empirical studies that examine the adoption of e-commerce in developing economies in the Arab world. The aim of this study is to provide insights into the salient e-commerce adoption issues by focusing on Saudi Arabian businesses. Based on the Technology-Organisational-Environmental framework, an integrated research model was developed that explains the relative influence of 19 known determinants. A measurement scale was developed from prior empirical studies and revised based on feedback from the pilot study. Non-interactive adoption, interactive adoption and stabilisation of e-commerce adoption were empirically investigated using survey data collected from Saudi manufacturing and service companies. Multiple discriminant function analysis (MDFA) was used to analyse the data and research hypotheses. The analysis demonstrates that (1) regarding the non-interactive adoption of e-commerce, IT readiness, management team support, learning orientation, strategic orientation, pressure from business partner, regulatory and legal environment, technology consultants‘ participation and economic downturn are the most important factors, (2) when e-commerce interactive adoption is investigated, IT readiness, management team support, regulatory environment and technology consultants‘ participation emerge as the strongest drivers, (3) pressure from customers may not have much effect on the non-interactive adoption of e-commerce by companies, but does significantly influence the stabilisation of e-commerce use by firms, and (4) Saudi Arabia has a strong ICT infrastructure for supporting e-commerce practices. Taken together, these findings on the multi-dimensionality of e-commerce adoption show that non-interactive adoption, interactive adoption and stabilisation of e-commerce are not only different measures of e-commerce adoption, but also have different determinants. Findings from this study may be valuable for both policy and practice as it can offer a substantial understanding of the factors that enhance the widespread use of B2B e-commerce. Also, the integrated model provides a more comprehensive explanation of e-commerce adoption in organisations and could serve as a foundation for future research on information systems.

A stage-oriented model (SOM) for e-commerce adoption:a study of Saudi Arabian organisations

Purpose - The purpose of this paper is to construct a new e-commerce innovation and adoption model that takes into account various stages of e-commerce adoption (interactive, non-interactive and stabilised) and covers technological, organisational and environmental factors. This was tested using data collected from manufacturing and service companies in Saudi Arabia (SA) to reveal inhibitors and catalysts for e-commerce adoption. Design/methodology/approach - This study uses new data from surveys from 202 companies and then uses exploratory factor analysis and structural equation modelling for analyses. Findings - This study shows that the new stage-oriented model (SOM) is valid and can reveal specific detailed nuances of e-commerce adoption within a particular setting. Surprising results show that SA is not so very different to developed western countries in respect to e-commerce adoption. However there are some important differences which are discussed in detail. Research limitations/implications - A new SOM for e-commerce adoption is provided which may be used by other IS adoption researchers. Practical implications - Managers responsible for the adoption of e-commerce in SA, the Middle East and beyond can learn from these findings to speed up adoption rates and make e-commerce more effective. Social implications - This work may help spread e-commerce use throughout SA, the Middle East and to other developing nations. Originality/value - The results add to the extremely limited number of empirical studies that has been conducted to investigate e-commerce adoption in the context of Arabic countries.

Connecting social media to e-commerce:cold-start product recommendation using microblogging information

In recent years, the boundaries between e-commerce and social networking have become increasingly blurred. Many e-commerce websites support the mechanism of social login where users can sign on the websites using their social network identities such as their Facebook or Twitter accounts. Users can also post their newly purchased products on microblogs with links to the e-commerce product web pages. In this paper, we propose a novel solution for cross-site cold-start product recommendation, which aims to recommend products from e-commerce websites to users at social networking sites in 'cold-start' situations, a problem which has rarely been explored before. A major challenge is how to leverage knowledge extracted from social networking sites for cross-site cold-start product recommendation. We propose to use the linked users across social networking sites and e-commerce websites (users who have social networking accounts and have made purchases on e-commerce websites) as a bridge to map users' social networking features to another feature representation for product recommendation. In specific, we propose learning both users' and products' feature representations (called user embeddings and product embeddings, respectively) from data collected from e-commerce websites using recurrent neural networks and then apply a modified gradient boosting trees method to transform users' social networking features into user embeddings. We then develop a feature-based matrix factorization approach which can leverage the learnt user embeddings for cold-start product recommendation. Experimental results on a large dataset constructed from the largest Chinese microblogging service Sina Weibo and the largest Chinese B2C e-commerce website JingDong have shown the effectiveness of our proposed framework.

E-commerce evolution in Hungary: an investigation of critical succes factor

In this paper we highlight how the use of internet has changed from 2004 to 2009 among Hungarian companies, how their expectations about the role of e-commerce as a competitive advantage has evolved and whether perceived benefits of e-commerce show a shift from 2004 to 2009.We investigate the role of environmental factors and market orientation as two relevant types of critical success factors proposed by the management literature and measure their impacts on Internet usage, expectations about e-commerce and perceived benefits of ecommerce. Our findings suggest that market orientation has a positive effect on Internet usage and perceived benefits of e-commerce. Internet usage and expectations are dependent on the vulnerability of the company to its macroeconomic environment. The positive outcomes of joining the EU seem to influence whether a company is able to exploit e-commerce benefits.

Értékteremtés e-kereskedelemmel – kitörési lehetőség a recesszió sújtotta magyar kiskereskedelemben? (Value creation of e-commerce – Chance to break out for the recession-hit Hungarian retail sector?)

Kimutatható-e az e-kereskedelem hatása a vállalati teljesítményre a recesszióval küzdő magyar kiskereskedelmi piacon? A hagyományos bolti értékesítés vagy on-line kereskedelem vezet hazánkban jobb pénzügyi teljesítményhez? Ezekre a kérdésekre a magyar IKT (infokommunikációs technológiai) kiskereskedők 187 elemű mintáján igyekeznek a szerzők választ keresni, az adatgyűjtést újszerű módon részben automatizált webpókokra bízva, következtetéseiket pedig elsősorban klaszterelemzési technikákra építve. Megállapítják, hogy bár a legjobb bolti kereskedők többnyire valamivel nagyobb és stabilabb profitrátákkal jellemezhetők a válság éveiben is, a piac megtartása és növelése terén már egyértelműen az e-kereskedők jeleskedtek. Eredményeik szerint az e-kereskedelem hozzásegítheti a kiskereskedőket a munkaerő-hatékonyság növeléséhez is, ám ha gyors rendelkezésre állással vagy alacsony árakkal csábítják vevőiket, akkor a profittöbblet egy részét felőrölheti a magasabb készlettartási igény vagy az árverseny. _____ The study examines whether e-commerce has a significant impact on corporate performance on the Hungarian retail market struggling with the effects of economic downturn. Is it brick-and-mortal retail or e-commerce that leads to a better financial performance? Using the innovative data gathering tools of automotive web crawlers the authors seek answers to these questions on a sample of 187 Hungarian ICT retailers. Based on cluster analysis they conclude that while the best traditional retailers have somewhat higher and more stable profitability ratios even during the years of recession, e-tailers are more successful in retaining and increasing their market share. E-commerce is also associated with higher human resource productivity, but the possible profit surplus originating from this advantage could be jeopardized in the long run as new electronic traders typically attract their customers by shorter service time or lower prices.

The adoption of retail electronic commerce: An empirical investigation

The purpose of this study was to empirically investigate the adoption of retail electronic commerce (REC). REC is a business transaction which takes place over the Internet between a casual consumer and a firm. The consumer has no long-term relationship with the firm, orders a good or service, and pays with a credit card. To date, most REC applications have not been profitable. To build profitable REC applications a better understanding of the system's users is required. ^ The research model hypothesizes that the level of REC buying is dependent upon the Buying Characteristics of Internet Use and Search Experience plus the Channel Characteristics of Beliefs About Internet Vendors and Beliefs About Internet Security. The effect of these factors is modified by Time. Additional research questions ask about the different types of REC buyers, the differences between these groups, and how these groups evolved over time. ^ To answer these research questions I analyzed publicly available data collected over a three-year period by the Georgia Institute of Technology Graphics and Visualization Unit over the Internet. Findings indicate the model best predicts Number of Purchases in a future period, and that Buyer Characteristics are most important to this determination. Further, this model is evolving over Time making Buyer Characteristics predict Number of Purchases better in more recent survey administrations. Buyers clustered into five groups based on level of buying and move through various levels and buy increasing Number of Purchases over time. ^ This is the first large scale research project to investigate the evolution of REC. This implications are significant. Practitioners with casual consumer customers need to deploy a finely tuned REC strategy, understand their buyers, capitalize on the company reputation on the Internet, install an Internet-compatible infrastructure, and web-enable order-entry/inventory/fulliment/shipping applications. Researchers might wish to expand on the Buyer Characteristics of the model and/or explore alternative dependent variables. Further, alternative theories such as Population Ecology or Transaction Cost Economics might further illuminate this new I.S. research domain. ^