Factors Influencing BI Data Collection Strategies: An Empirical Investigation

The purpose of this dissertation is to examine the external factors that influence an organizations' business intelligence (BI) data collection strategy when mediated by BI attributes. In this dissertation, data warehousing strategies are used as the basis on which to frame the exploration of BI data collection strategies. The attributes include BI insightfulness, BI consistency, and the organizational transformation attribute of BI. The research population consisted of IT professionals and top level managers involved in developing and managing BI. Data was collected from a range of industries and organizations within the United States. An online survey was used to collect the data to empirically test the proposed relationships. Data was analyzed using partial least square path modeling (PLS). The results of this study suggest that there exists a positive relationship between institutional isomorphism and BI consistency. The results also indicate that there exists a positive relationship between BI consistency and BI comprehensive data collection strategy, and the organizational transformation attribute of BI and BI comprehensive data collection strategy. These findings provide a theoretical lens to better understand the motivators and the success factors related to collecting the huge amounts of data required for BI. This study also provides managers with a mental model on which to base decisions about the data required to accomplish their goals for BI

Cues from Doctor: Role of Media in Reinforcing Life Changing Interventions

Lack of patient motivation to change health behaviors creates a barrier to curb chronic diseases such as diabetes. This study empirically investigates the influence of perception of educational benefits and self awareness of the disease on life changing interventions, and the complementary effect of media intensity on the relationship between self awareness and life changing interventions. Using an archival survey data of 78 patients that were imparted diabetes management education programs, we find that media intensity complements the influence of self awareness on life changing modalities, along with the direct effects of perceived educational benefits and self awareness on life changing intervention and patient satisfaction. The results of this study indicate the implications that a richer media enabled by information technology can play a significant role to influence the process of chronic disease management

An Investigation of the Impact of Open Source Software Support on its Market Share

Open source software (OSS) support creates major barriers to increases in its market share. Drawing on the relationship marketing theory, we develop and empirically test a model to examine the influence of OSS support on OSS market share. Using a survey data of 151 IT professionals working in the US, we find that OSS support positively influences its market share. It also indirectly influences OSS market share through OSS investment decision and need based use for OSS. The results of this study indicate that OSS support plays a central role in improving popularity of OSS. The study informs managers on developing strategies to market OSS based on support and costs

Open Source Software and Performance: A Fit Perspective

Although Open Source Software (OSS) is popular, its continued use in organizations remains an issue, as evidenced by users reporting frequent problems, experiencing hold-ups, and running into implementation and integration issues. Often, it is argued that fit between the person’s task, values and work demands pose challenges for the successful use of OSS. In this context, this study draws on the concepts of task-technology fit and person-organization fit to develop a model to explore how different dimensions of fit interact with each other to influence OSS user’s productivity and innovation performance. Survey data was collected from OSS users to test the proposed model. Results of the analysis show that when there is fit between an individual’s OSS skills and the nature of the task to be performed (demand-ability fit), an OSS user’s productivity performance increases, whereas, his innovation performance decreases. Further, when the organization’s OSS values matches that of the individual user’s (value-based fit), his task productivity decreases. Implications of the results suggest that organizations that intend to use OSS for a long time need to recruit employees keeping in mind the nature of their OSS projects and the demands and priorities of the tasks performed in the organization

IoT Value Creation Through Supply Chain Analytics Capability

Business Intelligence and Analytics (BI&A) systems form the key information processing artifact that enables firms to process, store, and use the data generated by the Internet of Things (IoT) in the supply chain context. We empirically investigate how firms create value from IoT through a ‘capability creation’ path model for Supply Chain Analytics Capability. Partial least square analysis of primary survey data collected from 127 firms in India provides two key findings: 1) a modular system architecture and decentralized governance across supply chain partners are important precursors to build a robust Supply Chain Analytics Capability which can utilize IoT based data 2) Supply Chain Analytics Capability influences Firm Performance in two ways - directly, through Supply Chain Integration, and interactively with Supply Chain Integration. Overall, this study establishes the antecedents and consequences of Supply Chain Analytics Capability, which is an important precursor to value creation through IoT

Oxidation of ɑ-hydroxyacids by N-bromophthalimide- Dependence of mechanism on pH of the medium

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An Integrated Model of Business Intelligence & Analytics Capabilities and Organizational Performance

Organizations can leverage business intelligence and analytics (BI&A) to transform themselves through a holistic integration process. Contrary to this proposition, many organizations implement BI&A without aligning or integrating it with organizational strategies. Some implement BI&A in a very ad hoc manner without any plans to leverage it. From a research point of view, we lack an integrated framework that can inform both academics and practitioners about adroit applications with business intelligence and analytics capabilities in organizations. We examine what significant BI&A capabilities organizations need to create value from BI&A. We conceptualize second-order constructs that affect the BI&A value-creation process: innovation infrastructure capability, customer process capability, business-to-business (B2B) process capability, and integration capability. We propose that these higher-order BI&A capabilities influence organizational performance through BI&A effectiveness’s the mediation effect. We developed a questionnaire instrument and collected data from 154 firms in India. Partial least squares analysis provides broad support for our hypotheses. Our contributions include identifying and empirically assessing key BI&A capabilities that directly impact how effectively an organization implements BI&A

Business Analytics Capability and Supply Chain Management

This study proposes that BI&A decentralized governance and BI&A modular architecture are important to leverage the basic BI&A capabilities for supply chain, in an interactive manner, to improve organization’s integrated supply chain information and analytical outcomes. A survey instrument anchoring to existing first and second order constructs is developed. Structural modeling approach with primary data is the proposed methodology for testing the model and hypotheses. This study will contribute to cross-discipline of supply chain and business intelligence