Abstract Attracting and developing information technology (IT) professionals is one of the top concerns for companies. Although much research has been conducted about the job behavior and attitudes of IT professionals over the last three decades, findings are inconclusive and contradictory. This suggests that something may be missing in how we examine this phenomenon. Most of this research is drawn from theories of motivation, very little examines the effect of social relationships on IT professionals' behavior and attitude. Yet, social capital theory suggests that job behavior and attitude may be greatly influenced by these relationships. This suggests that IT professionals' social capital warrants empirical examination. The primary research question that this dissertation addresses is how social capital affects IT professionals' work attitude and behavior including job satisfaction, organizational citizenship behavior, job performance and turnover intention. The research model in this dissertation examines the influence of three aspects of social capital on IT professionals' job attitude and work behavior: tie strength, the number of ties and the structural holes. Data were collected from 129 IT professionals from a range of jobs, organizations and industries. Results indicate that tie strength in the organization of an IT professional is positively related to job …

Application of multisource feedback (MSF) increased dramatically and became widespread globally in the past two decades, but there was little conceptual work regarding self-other agreement and few empirical studies investigated self-other agreement in other cultural settings. This study developed a new conceptual framework of self-other agreement and used three samples to illustrate how national culture affected self-other agreement. These three samples included 428 participants from China, 818 participants from the US, and 871 participants from globally dispersed teams (GDTs). An EQS procedure and a polynomial regression procedure were used to examine whether the covariance matrices were equal across samples and whether the relationships between self-other agreement and performance would be different across cultures, respectively. The results indicated MSF could be applied to China and GDTs, but the pattern of relationships between self-other agreement and performance was different across samples, suggesting that the results found in the U.S. sample were the exception rather than rule. Demographics also affected self-other agreement disparately across perspectives and cultures, indicating self-concept was susceptible to cultural influences. The proposed framework only received partial support but showed great promise to guide future studies. This study contributed to the literature by: (a) developing a new framework of self-other …

Converting individual knowledge into organizational knowledge can be difficult because individuals refuse to share knowledge for a number of different reasons. Creating an atmosphere of fairness plays an important role in the creation of a knowledge-sharing climate. This dissertation proposes that perceptions of organizational justice are crucial building blocks of that environment, leading to knowledge sharing. Data was collected using a field survey of IT managers representing a broad spectrum of the population in terms of organizational size and industry classification. The survey instrument was developed based on the adaptation of previously validated scales in addition to new items where no existing measures were found. Hypotheses regarding the influence of distributional, procedural, and interactional justice on knowledge sharing processes were tested using structural equation modeling techniques. Based on the theory of reasoned action, which states that attitudes and subjective norms are the major determinants of a person's intention, the hypotheses examining the relationship between attitude toward knowledge sharing, subjective norm and the intention to share knowledge were supported. However, results did not support the hypothesis exploring the relationship between the organizational climate and the intention to share knowledge. The results show that all three types of justice constructs are statistically …

Numerous models of IS success and technology acceptance their extensions have been proposed and applied in empirical. This study continues this tradition and extends the body of knowledge on the topic of IS success by developing a more comprehensive model for measuring IS success and technology acceptance within a government organization. The proposed model builds upon three established IS success and technology acceptance frameworks namely the DeLone and McLean (2003), Venkatesh et al.'s (2003) unified theory of acceptance and use of technology (UTAUT), and Wixom and Todd (2005). The findings from this study provide not only a comprehensive IS success assessment model but also insights into whether and how IS success models are influenced by application variables as applied within a government organization. Exploratory factor analysis and confirmatory factor analysis were performed for instrument refinement and validity test of the existing and proposed models. Using data from employees of a local government municipal, the comprehensive model explained 32 percent variance. Four of the hypothesis were fully supported five were not supported, and four were partially supported. In addition, the results suggest that behavioral intention may not be the best predictor of technology acceptance in a mandatory environment.

Spending by U.S. companies in offshore IT services continues at unprecedented levels despite a high failure rate. This study fills a gap in the existing literature by examining the client-vendor offshoring relationship through the theoretical lens of social exchange theory at the organizational level of analysis from the client's perspective. Social exchange theory focuses on the exchange of activities between two parties, whether they are individuals or companies and was used as a basis for examining the client and vendor relationship. Variables were identified by a review of the literature primarily from IT outsourcing and offshoring but also from general IT, marketing, sociology and organizational science literature. Data was collected using a field survey of Fortune 500 CIOs representing a population of organizations at the forefront of the offshoring phenomenon. The survey instrument was developed based on the adaptation of previously validated scales. Hypotheses regarding the correlations between social variables such as trust, communication, dependence, power, shared values and offshoring success were tested using Spearman's rho correlation. Seven of the hypotheses were supported, four hypotheses were not supported and one hypothesis was deemed not testable due to lack of information.

The discipline of information security management is still in its infancy as evidenced by the lack of empirical scholarly work in this area. Most research within the information security domain focuses on specific technologies and algorithms and how it impacts the principles of confidentiality, integrity, and availability. But, an important area receiving little attention is the antecedents of effective information security management at the organizational level (Stanton, Guzman, Stam & Caldera, 2003). The little empirical research that has been conducted in this area has shown that information security management in many organizations is poor (Baskerville, 1993; Shimeall & McDermott, 1999). Several researchers have identified the need for methods to measure the organization-wide information security posture of organizations (Eloff & Von Solms, 2000; James, 1996). This dissertation attempts to measure the organization-wide information security posture by examining benchmark variables that assess role, planning orientation, and performance structure within the organization. Through this conceptualization of an organization's information security posture, a means is presented to measure overall information security and how it impacts the effective utilization of information security strategies. The presence of the dependent variable, effectiveness, gives academics and practitioners a success measure which can guide more effective decision making in …

This research sought to shed light on information systems security (ISS) by conceptualizing an organization's use of countermeasures using general deterrence theory, positing a non-recursive relationship between threats and countermeasures, and by extending the ISS construct developed in prior research. Industry affiliation and organizational size are considered in terms of differences in threats that firms face, the different countermeasures in use by various firms, and ultimately, how a firm's ISS effectiveness is affected. Six information systems professionals were interviewed in order to develop the appropriate instruments necessary to assess the research model put forth; the final instrument was further refined by pilot testing with the intent of further clarifying the wording and layout of the instrument. Finally, the Association of Information Technology Professionals was surveyed using an online survey. The model was assessed using SmartPLS and a two-stage least squares analysis. Results indicate that a non-recursive relationship does indeed exist between threats and countermeasures and that countermeasures can be used to effectively frame an organization's use of countermeasures. Implications for practitioners include the ability to target the use of certain countermeasures to have desired effects on both ISS effectiveness and future threats. Additionally, the model put forth in this research …

This study empirically examines the impact of IT capability on firms' performance and evaluates whether firms' IT capabilities play a role in improving employee capability, customer value, customer satisfaction, and ultimately business performance. The results were based on comparing the business performance of the IT leader companies with that of control companies of similar size and industry. The IT leader companies were selected from the Information Week 500 list published annually from 2001 to 2004. For a company to be selected as IT leaders, it needed to be listed at least twice during the period. Furthermore, it had to be listed in the American Customer Satisfaction Index (ACSI) so that its customer satisfaction level could be assessed. Standard & Poor's Compustat and the ACSI scores were used to test for changes in business performance. The study found that the IT leaders had a raw material cost measured by cost-of-goods-sold to sales ratio (COGS/S) than the control companies. However, it found no evidence that firms' IT capability affects employee capability, customer value, customer satisfaction, and profit. An important implication from this study is that IT becomes a commodity and an attempt to gain a competitive advantage by overinvesting in IT may …

Effective supply chain management gains much attention from industry and academia because it helps firms across a supply chain to reduce cost and improve customer service level efficiently. Focusing on one of the key challenges of the supply chains, namely, demand uncertainty, this dissertation extends the work of Zhao, Xie, and Leung so as to examine the effects of forecasting method selection coupled with information sharing on supply chain performance in a dynamic business environment. The results of this study showed that under various scenarios, advanced forecasting methods such as neural network and GARCH models play a more significant role when capacity tightness increases and is more important to the retailers than to the supplier under certain circumstances in terms of supply chain costs. Thus, advanced forecasting models should be promoted in supply chain management. However, this study also demonstrated that forecasting methods not capable of modeling features of certain demand patterns significantly impact a supply chain's performance. That is, a forecasting method misspecified for characteristics of the demand pattern usually results in higher supply chain costs. Thus, in practice, supply chain managers should be cognizant of the cost impact of selecting commonly used traditional forecasting methods, such as moving …