Latent Growth Modeling and Latent Class Analysis

Geared towards capturing change, longitudinal research is able to provide insight into a variety of phenomena of interest to IS researchers, especially IT adoption and use. However, its potential is constrained by the data analysis methods typically used. In this paper, I introduce an advanced technique – Latent Curve Modeling – and demonstrate how this technique supports longitudinal data analysis using system use data collected at an international management consulting firm. Latent Curve Modeling helps capture temporal patterns better than existing methods, and provides methods to identify the causes of change in patterns. With rich information in the discussion of the technique and the results of the empirical tests, I recommend it as a valuable option for IS researchers who are interested in research involving temporal changes

UNDERSTANDING PARTICIPATION BEHAVIOR AND STATUS ATTAINMENT OF OPEN SOURCE SOFTWARE DEVELOPERS – A LATENT CLASS GROWTH MODELING APPROACH

The success of open source software (OSS) projects heavily depends on voluntary participation by a large number of developers. Developers new to an OSS community must participate by engaging in community interactions before they are qualified by the community as core developers. This exploratory study examines new peripheral developers’ temporal participation behavior and its impacts on the time taken to attain core developer status. Using the novel latent class growth modeling approach on 133 peripheral developers across 40 OSS projects, we found that these peripheral developers differed in the initial levels and growth trajectories of participation, and distinct classes of participation behavior were identified. We also found that different classes of developers differ in their time taken to attain core developer status. Implications to research and practice are discussed

Selection Criteria of Public for Account Opening: A Case Study of Islamic Banks in Pakistan

Banks have an immense role in deciding the economic fate of any state. The purpose of the study is to investigate the selection criteria of Islamic banking system for account opening. Data was collected and analysed through descriptive statistics, One Sample t test and Independent Sample t test. The results show that people prefer banks have the number of branches, wide range of products, low cost products, easily approachability. Results also shown, no significance difference in the selection criteria for Islamic banks among the customers based on Gender.DOI: 10.15408/aiq.v10i1.601

Computer Mediated Social Ties and Knowledge Sharing

Understanding social interactions and knowledge sharing behavior in the organizational context is important as an organization’s success is increasingly dependent on how efficiently and effectively knowledge workers share information with others. Knowledge workers are increasingly interacting via computer and communication technologies. In this research we integrate theories of computer mediated communication with theories and prior mixed findings about the strength of social ties and knowledge sharing to theorize about the effects of computer-mediated communication (CMC) on social ties and ultimately on knowledge sharing between individuals in firms. Specifically we theorize about the ability of CMC to a) support diverse social ties, and b) facilitate frequency-based strong social ties that hold strong trust – both supporting knowledge sharing. In a social network survey of 70% of employees in an innovation driven organization located in China, our analysis confirms our theorizing and offers contributions to IS and organizational researchers as well as practitioners.

Capturing the dynamics of adoption through Latent Curve Modeling

Geared towards capturing change, longitudinal research is able to provide insight into a variety of phenomena of interest to IS researchers, especially IT adoption and use. However, its potential is constrained by the data analysis methods typically used. In this paper, we introduce an advanced technique – Latent Curve Modeling – and demonstrate how this technique supports longitudinal data analysis using system use data collected at an international management consulting firm. Latent Curve Modeling helps capture temporal patterns better than existing methods, and provides methods to identify the causes of change in patterns. With rich information in the discussion of the technique and the results of the empirical tests, we recommend it as a valuable option for IS researchers who are interested in research involving temporal changes

Knowledge Sharing Through Computer Mediated Social Ties

Understanding social interactions and knowledge sharing behavior in the organizational context is important as an organization’s success is increasingly dependent on how efficiently and effectively knowledge workers share information with others. Knowledge workers are increasingly interacting via computer and communication technologies. In this research we integrate theories of computer mediated communication with theories and prior mixed findings about the strength of social ties and knowledge sharing to theorize about the effects of computer-mediated communication (CMC) on social ties and ultimately on knowledge sharing between individuals in firms. Specifically we theorize about the ability of CMC to a) support diverse social ties, and b) facilitate frequency-based strong social ties that hold strong trust – both supporting knowledge sharing. In a social network survey of 70% of employees in an innovation driven organization located in China, our analysis confirms our theorizing and offers contributions to IS and organizational researchers as well as practitioners

DISAGGREGATED EFFECTS OF COMPUTER MEDIATED COMMUNICATION USAGE PATTERNS ON SOCIAL NETWORKS

Various studies have reported that computer-mediated communication (CMC) increases, decreases and has no effect on social capital. These conflicting outcomes of CMC on social ties resulted in a rich debate. However, the core question remains unanswered - how does usage of CMC disrupt relationships and make individuals isolated but at the same time function as a channel for creating new and enduring social ties within and across the populations? We measure CMC usage for learning activities, leisure and socializing communications, and entertainment purpose. We find that those who use CMC more for entertainment have less developed social networks irrespective of the contexts we studied. Those who use CMC for leisure and socializing communication have well developed broader social networks and close friendships networks but less developed work networks. Finally, those who use CMC more for learning activities are more central in work networks but less central in broader social networks and close friendship networks

Investigating the Nonlinear Effects of Trust on Online Repurchase Intention -- The Role of E-Commerce Institutional Contexts

Recent literature has gone beyond assessing simple effects of trust on repurchase intention to understanding the more complex and intriguing impacts of trust on online repurchase intention in regard to the operational boundary of trust. In response to the call for further research on the boundary conditions under which trust operates in the e-commerce context, this study investigates the extent of nonlinearity on the trust-repurchase intention relationship under different perceived institutional contexts. Drawing on prospect theory, we propose that the positive relationship between trust and repurchase intention is concavely nonlinear in perceived effective contexts, and is convexly nonlinear in perceived ineffective contexts. Our hypotheses were empirically examined using survey data collected from online customers in New Zealand and Northern Ireland