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Description
Mobile applications (Apps) markets with App stores have introduced a new approach to define and sell software applications with access to a large body of heterogeneous consumer population. Several distinctive features of mobile App store markets including – (a) highly heterogeneous consumer preferences and values, (b) high consumer cognitive burden

Mobile applications (Apps) markets with App stores have introduced a new approach to define and sell software applications with access to a large body of heterogeneous consumer population. Several distinctive features of mobile App store markets including – (a) highly heterogeneous consumer preferences and values, (b) high consumer cognitive burden of searching a large selection of similar Apps, and (c) continuously updateable product features and price – present a unique opportunity for IS researchers to investigate theoretically motivated research questions in this area. The aim of this dissertation research is to investigate the key determinants of mobile Apps success in App store markets. The dissertation is organized into three distinct and related studies. First, using the key tenets of product portfolio management theory and theory of economies of scope, this study empirically investigates how sellers’ App portfolio strategies are associated with sales performance over time. Second, the sale performance impacts of App product cues, generated from App product descriptions and offered from market formats, are examined using the theories of market signaling and cue utilization. Third, the role of App updates in stimulating consumer demands in the presence of strong ranking effects is appraised. The findings of this dissertation work highlight the impacts of sellers’ App assortment, strategic product description formulation, and long-term App management with price/feature updates on success in App market. The dissertation studies make key contributions to the IS literature by highlighting three key managerially and theoretically important findings related to mobile Apps: (1) diversification across selling categories is a key driver of high survival probability in the top charts, (2) product cues strategically presented in the descriptions have complementary relationships with market cues in influencing App sales, and (3) continuous quality improvements have long-term effects on App success in the presence of strong ranking effects.
ContributorsLee, Gun Woong (Author) / Santanam, Raghu (Thesis advisor) / Gu, Bin (Committee member) / Park, Sungho (Committee member) / Arizona State University (Publisher)
Created2015
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Description
This descriptive research used social network analysis to explore the influence of relationships and communication among hospital nursing (RN, LPN, CNA) and discharge planning staff on adherence to evidence-based practices (EBP) for reducing preventable hospital readmissions. Although previous studies have shown that nurses are a valued source of research information

This descriptive research used social network analysis to explore the influence of relationships and communication among hospital nursing (RN, LPN, CNA) and discharge planning staff on adherence to evidence-based practices (EBP) for reducing preventable hospital readmissions. Although previous studies have shown that nurses are a valued source of research information for each other, there have been few studies concerning the role that staff relationships and communication play in adherence to evidence-based practice. The investigator developed the Relational Model of Communication and Adherence to EBP from diffusion of innovation theory, social network theories, relational coordination theory, and quality improvement literature.

The study sample consisted of 10 adult-medical surgical units, five home care agencies and six long-term care facilities. A total of 273 hospital nursing and discharge planning staff and 69 post-acute staff participated. Hospital staff completed a survey about communication patterns for patient care and patient discharge and about communication quality on the unit. Hospital and post-acute care staff completed surveys about relationship quality and demographic characteristics. Evidence-based practice adherence rates for risk assessment, medication reconciliation, and discharge summary were measured as documented in the electronic medical record.

Social network analysis was used to analyze the communication patterns for patient care communication at the unit. These findings were correlated with (1) aggregate responses for communication quality, (2) aggregate responses for relationship quality, and (3) EBP adherence. Statistically significant relationships were found between communication patterns, and communication quality and relationship quality. There were

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two significant relationships between communication quality, and EBP adherence. Limitations in response rates and missing data prevented the analysis of all of the hypothesized relationships.

The findings from this study provide empirical support for the role of social networks and relationships among staff in adoption of, and adherence to, EBP. Social network theory and social network analysis, especially the concept of knowledge sharing, provide ways to understand and leverage the influence of peer relationships. Future studies are needed to better understand the contribution that relationships among staff (social networks) have in the adoption of and adherence to EBP among nursing staff. Further model development and multilevel studies are
ContributorsSolomons, Nan M (Author) / Lamb, Gerri (Thesis advisor) / Verran, Joyce (Committee member) / Marek, Karen (Committee member) / Arizona State University (Publisher)
Created2016