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UPDATE `aff_pdf_cache` SET `cache` = 'a:10:{i:0;O:8:\"stdClass\":13:{s:2:\"id\";s:5:\"12200\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:7:\"samanta\";s:9:\"author_id\";s:4:\"1916\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:61:\"Information Technology and Training in Emergency Call Centers\";s:11:\"description\";s:1180:\"This paper is motivated by the question of whether information technology (IT) increases or decreases the returns to skill and training, particularly in the service sector. To address this question, we examine the empirical patterns of IT and human resource practice adoption in a particular type of telephone customer service organization, the emergency call center. Emergency call centers, typically accessed in the U.S. by dialing 911, serve as the first point of contact between an emergency victim and the local police, fire, and health infrastructure. For every telephone call received, a telecommunicator determines the nature of the emergency and the location of the caller, and then assists in the dispatch of appropriate emergency services. A number of new technologies have become available in recent years. The 1990s saw widespread adoption of computerized \"Enhanced 911\" (E911) systems that automatically identify a caller\'s location. In earlier research, we found that the adoption of E911 increases productivity by decreasing response time to emergencies, and that lower response time leads to lower mortality rates from heart attacks (Athey and Stern, 1998a).\";s:5:\"thumb\";s:78:\"images/t/122/information-technology-and-training-in-emergency-call-centers.jpg\";s:6:\"thumb2\";s:79:\"images/t2/122/information-technology-and-training-in-emergency-call-centers.jpg\";s:9:\"permalink\";s:61:\"information-technology-and-training-in-emergency-call-centers\";s:5:\"pages\";s:2:\"10\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:1;O:8:\"stdClass\":13:{s:2:\"id\";s:5:\"35437\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:6:\"etoile\";s:9:\"author_id\";s:1:\"0\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:63:\"Business Decision Making, Management and Information Technology\";s:11:\"description\";s:1468:\""Information technology is no longer a business resource; it is the business environment." His statement is not far from truth. Ongoing advances in information technology (IT), along with increasing global competition, are adding complexity and uncertainty of several orders of magnitude to the organizational environment. Information technology management (or IT management ) is a combination of two branches of study, information technology and management. This aims at achieving the goals and objectives of an organization through computers. Also called IT management, this name is a common business function within corporations. Strictly speaking, there are two incarnations to this definition. One implies the management of a collection of systems, infrastructure, and information that resides on them. Another implies the management of information technologies as a business function. The first definition is the subject of technical manuals and publications of various information technologies providers; while the second definition stems from the discussion and formation of the Information Technology Infrastructure Library (ITIL). The ITIL has been in practice throughout regions of the world mainly conducted by IT service providers consulting companies. The relative paucity in the use of the best practice set can be attributed to lack awareness among IT practitioners. However the lack of ready-to-use tools also presents a significant barrier.\";s:5:\"thumb\";s:79:\"images/t/355/business-decision-making-management-and-information-technology.jpg\";s:6:\"thumb2\";s:80:\"images/t2/355/business-decision-making-management-and-information-technology.jpg\";s:9:\"permalink\";s:62:\"business-decision-making-management-and-information-technology\";s:5:\"pages\";s:2:\"20\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:2;O:8:\"stdClass\":13:{s:2:\"id\";s:5:\"10740\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:7:\"samanta\";s:9:\"author_id\";s:4:\"1916\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:113:\"Alignment of a Firm\'s Competitive Strategy and Information Technology Management Sophistication: The Missing Link\";s:11:\"description\";s:616:\"The need for establishing a link between information technology (IT) management strategies and a firm’s competitive
\nstrategy has been identified and discussed in the literature. In this paper, factors for measuring IT management sophistication
\nare identified first. Then the effects of the competitive strategy on IT management sophistication are tested empirically. According to a survey of 213 managers, this study finds that competitive
\nstrategy has a direct impact on IT management sophistication.
\nThis paper concludes with implications for both researchers and
\npractitioners.\";s:5:\"thumb\";s:116:\"images/t/108/alignment-of-a-firm-s-competitive-strategy-and-information-technology-management-sophistication-the.jpg\";s:6:\"thumb2\";s:117:\"images/t2/108/alignment-of-a-firm-s-competitive-strategy-and-information-technology-management-sophistication-the.jpg\";s:9:\"permalink\";s:99:\"alignment-of-a-firm-s-competitive-strategy-and-information-technology-management-sophistication-the\";s:5:\"pages\";s:2:\"15\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:3;O:8:\"stdClass\":13:{s:2:\"id\";s:4:\"5172\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:6:\"shinta\";s:9:\"author_id\";s:3:\"377\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:95:\"The Role of Social Cognitive Career Theory in Information Technology based Academic Performance\";s:11:\"description\";s:1296:\"Positive academic efficacy beliefs elevate educational expectations that lead to academic
\nsuccess (Bandura, 1997; Lent, Brown, & Hackett, 1994). The purpose of this study was to
\nexplore the relationship of the variables: past performance, computer self-efficacy, outcome
\nexpectations, academic grade goal, and academic performance within social cognitive career
\ntheory’s model of performance (Lent, Brown, & Hackett, 1994). The study focused on the
\neffects of social cognitive variables on academic performance in an information technology
\ncourse. Participants were 193 undergraduate students (82 women and 111 men) who
\ncompleted a background questionnaire, the Information Technology Proficiency Exam, the
\nComputer Self-Efficacy scale, and the Technology Outcome Expectations scale. Based on path
\nmodel results, the findings suggest that students’ academic performance is related to past
\nperformance. Consistent with theory, the findings suggest that academic performance is
\ninfluenced by computer self-efficacy via the establishment of an academic grade goal. In the
\npresent study, the past performance variable failed to predict academic performance when
\nimpacted by outcome expectations.
\n\";s:5:\"thumb\";s:111:\"images/t/52/the-role-of-social-cognitive-career-theory-in-information-technology-based-academic-performance.jpg\";s:6:\"thumb2\";s:112:\"images/t2/52/the-role-of-social-cognitive-career-theory-in-information-technology-based-academic-performance.jpg\";s:9:\"permalink\";s:95:\"the-role-of-social-cognitive-career-theory-in-information-technology-based-academic-performance\";s:5:\"pages\";s:2:\"10\";s:6:\"rating\";s:1:\"2\";s:5:\"voter\";s:1:\"5\";}i:4;O:8:\"stdClass\":13:{s:2:\"id\";s:5:\"14782\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:7:\"samanta\";s:9:\"author_id\";s:4:\"1916\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:79:\"Impacts of Information Technology on Productivity and Linkage of the US Economy\";s:11:\"description\";s:2292:\"This paper examines structural changes in the US economy in the context of interindustry linkages. Structural changes are studied in terms of factor saving in the input-output accounting which is in concept equivalent to productivity growth but whose sign of change is opposite. While the conventional growth accounting has developed to trace detailed industry sources of productivity growth, its methodology isolates each industry from the rest. On the other hand, the input-output accounting framework has interindustry relations as its essential key features and can be extended smoothly to factor saving analysis. This thesis reaches three conclusions. First, the I-O accounting produces comparable results in factor saving as in productivity growth. This paper shows the average annual rate of factor saving was -0.91 percent for 1987-1995 and -1.75 percent for 1995-2000. These figures are larger than the rates of productivity growth based on the growth accounting but the extent of difference is not very large. The fast growth in factor saving, particularly for the latter period, is not only noticeable in size but also qualitatively significant in the sense that active output growth was not accompanied by price increases. Second, Information Technology industries made substantial contributions to reduce inflation as well as to save factors by supplying cheaper intermediate inputs to the industries. The IT intermediate inputs contribute to factor saving by -0.20 percent for 1987 to 1996 and -0.41 percent for 1995-2000. Considering the small size of IT intermediate inputs, the contribution of IT intermediate inputs is significantly large. Third, the inter-industry context of I-O accounting provides a fertile ground to investigate the role of sectors in factor saving and output growth. This paper points out that, while the contraction of the manufacturing sector is taken as a serious problem, the expansion of trade and transportation which function as a partial operation of the manufacturing sector tends to be overlooked. Furthermore, the manufacturing sector contributes significantly to factor saving, while the services sector does so to employment, implying their cooperative relation which is in some sense a division of labor in an economy-wide scale.\";s:5:\"thumb\";s:96:\"images/t/148/impacts-of-information-technology-on-productivity-and-linkage-of-the-us-economy.jpg\";s:6:\"thumb2\";s:97:\"images/t2/148/impacts-of-information-technology-on-productivity-and-linkage-of-the-us-economy.jpg\";s:9:\"permalink\";s:79:\"impacts-of-information-technology-on-productivity-and-linkage-of-the-us-economy\";s:5:\"pages\";s:2:\"56\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:5;O:8:\"stdClass\":13:{s:2:\"id\";s:5:\"19434\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:7:\"samanta\";s:9:\"author_id\";s:4:\"1916\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:90:\"Effect of Information Technology Investments on Customer Satisfaction: Theory and Evidence\";s:11:\"description\";s:1308:\"This research addresses the following questions: Do information technology (IT) investments have an effect on customer satisfaction? What are the causal mechanisms that mediate the effect of IT systems on customer satisfaction? Does the effect of IT on customer satisfaction differ across industry sectors? Based on an analysis of longitudinal data on 50 U.S. firms for the period 1994-2000, we document the association between IT investments and customer satisfaction. We find support for the hypotheses that the effect of IT investments on customer satisfaction is mediated through the effect of IT on perceived quality and perceived value. Our results also indicate that the effect of IT investments on customer satisfaction differs between the manufacturing and service sectors. While prior work on the business value of IT at the firm level focused on financial and accounting measures, our research establishes the effect of IT investments on overall customer satisfaction of a firm. We propose and validate a theory of mediation effects of perceived quality and perceived value. This proposal has the potential to synthesize information systems effectiveness and marketing literature towards an integrative understanding of the relationship between IT investments and customer satisfaction.\";s:5:\"thumb\";s:106:\"images/t/195/effect-of-information-technology-investments-on-customer-satisfaction-theory-and-evidence.jpg\";s:6:\"thumb2\";s:107:\"images/t2/195/effect-of-information-technology-investments-on-customer-satisfaction-theory-and-evidence.jpg\";s:9:\"permalink\";s:89:\"effect-of-information-technology-investments-on-customer-satisfaction-theory-and-evidence\";s:5:\"pages\";s:2:\"38\";s:6:\"rating\";s:1:\"5\";s:5:\"voter\";s:1:\"1\";}i:6;O:8:\"stdClass\":13:{s:2:\"id\";s:5:\"19435\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:7:\"samanta\";s:9:\"author_id\";s:4:\"1916\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:57:\"Effect of Information Technology on Customer Satisfaction\";s:11:\"description\";s:2500:\"This research addresses the following questions: Do information technology (IT) investments have an effect on customer satisfaction? Does the effect of IT on customer satisfaction differ across industry sectors? What are the causal mechanisms at work? How valid are the assertions in practitioner press that customer relationship management (CRM) systems have not paid off for firms? Based on an analysis of longitudinal data on fifty U.S. firms for the period 1994-2000, I first document the association between aggregate IT investments and customer satisfaction. The results also indicate that the effect of IT investments on customer satisfaction differs across manufacturing and service sector. I find support for the hypotheses that effect of IT investments on customer satisfaction is mediated through effect of IT on perceived quality and perceived value. While linking aggregate IT investments with customer satisfaction is a useful beginning for guiding appropriate levels of IT investments, in order to better understand the functional level effects, I also study the effect of more proximal customer interfacing IT applications such as customer relationship management (CRM) systems on customer satisfaction. Contrary to popular belief, my analysis of archival data collected for a broad cross section of firms in the US shows a positive effect of customer interfacing CRM systems on customer knowledge and customer satisfaction. The results suggest that CRM systems help firms in improving their customer knowledge that in turn leads to more targeted customer experiences thus improving customer satisfaction. This research makes three important contributions. Although much of the prior work on the business value of IT at the firm level focused on financial and accounting measures, this research explores the effect of IT investments on overall customer satisfaction of a firm for the first time. Second, I propose and validate a theory of mediation effects of perceived quality and perceived value. This proposal has the potential for synthesizing information systems effectiveness and marketing literature towards an integrative understanding of the relationship between IT and customer satisfaction. Finally, I pinpoint role of customer knowledge as a key causal mechanism in deriving value from CRM systems. These contributions provide a new lens for assessing returns from IT investments and provide guidance for managerial action in using IT for improving customer satisfaction.\";s:5:\"thumb\";s:74:\"images/t/195/effect-of-information-technology-on-customer-satisfaction.jpg\";s:6:\"thumb2\";s:75:\"images/t2/195/effect-of-information-technology-on-customer-satisfaction.jpg\";s:9:\"permalink\";s:57:\"effect-of-information-technology-on-customer-satisfaction\";s:5:\"pages\";s:2:\"47\";s:6:\"rating\";s:4:\"2.25\";s:5:\"voter\";s:1:\"4\";}i:7;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"341290\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:60:\"The Importance of Information Technology Consultant Services\";s:9:\"author_id\";s:1:\"0\";s:14:\"author_website\";s:20:\"http://www.nuoz.com/\";s:5:\"title\";s:60:\"The Importance of Information Technology Consultant Services\";s:11:\"description\";s:154:\"The aggressive information technology environment today demands that companies stay in tiptop form to be able to compete well with their business rivals. \";s:5:\"thumb\";s:78:\"images/t/3413/the-importance-of-information-technology-consultant-services.jpg\";s:6:\"thumb2\";s:79:\"images/t2/3413/the-importance-of-information-technology-consultant-services.jpg\";s:9:\"permalink\";s:60:\"the-importance-of-information-technology-consultant-services\";s:5:\"pages\";s:1:\"2\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:8;O:8:\"stdClass\":13:{s:2:\"id\";s:4:\"4833\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:6:\"shinta\";s:9:\"author_id\";s:3:\"377\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:64:\"Teaching ethical issues in Information Technology : how and when\";s:11:\"description\";s:533:\"Information technology is of course a very much a taken-for-granted part of everyday life today. There are, however, many ethical issues that need to be considered and developed in I.T. This article will firstly consider some of the philosophical issues surrounding ethics and then examine some of the various ethical issues in I.T. specifically. Some of the different methods for teaching ethical issues in I.T. will then outlined as well as a consideration about when it is appropriate to teach these different ethical I.T. issues.\";s:5:\"thumb\";s:78:\"images/t/49/teaching-ethical-issues-in-information-technology-how-and-when.jpg\";s:6:\"thumb2\";s:79:\"images/t2/49/teaching-ethical-issues-in-information-technology-how-and-when.jpg\";s:9:\"permalink\";s:62:\"teaching-ethical-issues-in-information-technology-how-and-when\";s:5:\"pages\";s:2:\"25\";s:6:\"rating\";s:7:\"2.81818\";s:5:\"voter\";s:2:\"22\";}i:9;O:8:\"stdClass\":13:{s:2:\"id\";s:5:\"10292\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:7:\"samanta\";s:9:\"author_id\";s:4:\"1916\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:96:\"Refining and Extending the Business Model With Information Technology: Dell Computer Corporation\";s:11:\"description\";s:1212:\"The exceptional performance of Dell Computer in recent years illustrates an innovative response to a fundamental competitive factor in the personal computer industry—the value of time. This article shows how Dell’s strategies of direct sales and build-to-order production have proven successful in minimizing inventory and bringing new products to market quickly, enabling it to increase
\nmarket share and achieve high returns on investment. The Dell case illustrates how one business model may have inherent advantages under particular market conditions, but it also shows the
\nimportance of execution in exploiting those advantages. In particular, Dell’s use of information technology (IT) has been vital to executing both elements of its business model—direct sales and
\nbuild-to-order—and provides valuable insights into how IT can be applied to achieve speed and exibility in an industry in which time is critical. Many of the insights gained from this case can be applied more generally to other time-dependent industries, suggesting that
\nthe ndings from the Dell case will have implications for a growing number of companies and industries in the future.\";s:5:\"thumb\";s:112:\"images/t/103/refining-and-extending-the-business-model-with-information-technology-dell-computer-corporation.jpg\";s:6:\"thumb2\";s:113:\"images/t2/103/refining-and-extending-the-business-model-with-information-technology-dell-computer-corporation.jpg\";s:9:\"permalink\";s:95:\"refining-and-extending-the-business-model-with-information-technology-dell-computer-corporation\";s:5:\"pages\";s:2:\"17\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}}', `cache_on` = '2015-02-27 17:41:38' WHERE `aff_id` = '81622'