The Moderating Role of Democratization Culture: Improving Agility through the Use of Big Data Analytics

Big data analytics (BDA) is considered an enabler of agility by helping organizations perform more informed and faster decision making. To achieve agility, firms need a backbone of stability, such as organizational culture. However, there is a dearth of research examining the relationship among agility, BDA use and organizational culture. In this regard, considering increasing attention given to data democratization in business, this paper introduces ‘democratization culture’ which values sharing of knowledge and acceptance of diversity. Assuming organizational culture as a contextual factor, our research examines the moderating effect of democratization culture on the relationship between BDA use and agility. Also, BDA use is classified into advanced and basic use based on functions and BDA types. Research model is empirically validated through data collected from 304 senior-level managers, confirming that democratization culture has different moderating effects, depending on whether agility is influenced by advanced or basic use of BDA

Improving Agility Using Big Data Analytics: The Role of Democratization Culture

Background: Big data analytics (BDA) is considered an enabler of organizational agility because it helps firms to sense market-based changes and improve decision making in a more informed and timely manner. However, in reality, only a handful of firms have achieved improvement in their outcomes by using BDA. To address this inconsistency, our study explores the conditions under which BDA use translates into agility. We particularly focus on organizational culture because in the pursuit of agility, culture is emphasized as a source of stability that allows firms to successfully adapt to the changing environment. Therefore, by assuming organizational culture as a contextual factor, this study examines the moderating effect of organizational culture on the link between BDA use and agility. Method: We employ a concept from data democratization called “democratization culture,” which values the willingness to share information and the acceptance of diversity. We also adopt collectivistic culture for comparison with democratization culture. Further, BDA use is decomposed into advanced and basic use based on the functions and BDA types. A model is proposed and empirically validated through survey data collected from 304 senior-level managers. Results: Our findings suggest that the moderating effects of democratization culture on agility are different depending on whether it is combined with advanced or basic BDA use. Conclusions: This study provides initial empirical evidence that contributes to the scarce research on the role of organizational culture in the link between BDA use and agility. Available at: https://aisel.aisnet.org/pajais/vol12/iss2/2

Effects of User IT Capabilities and Organized Big Data Analytics on Competitive Advantage

information technology (IT) in order to take advantage of the potential of data for business objectives. While users have received attention in many ways, we note that the capability literature has focused more on the IT supply side. We argue that user capabilities have moved to an integral position in firm competitive advantage, and call them “User IT Capabilities” (UIC). A survey was conducted to collect data from Japanese organizations, and a total valid sample of 1,170 respondents involved in big data use was extracted. The findings show the effect of UIC on the performance of big data analytics and firm competitiveness, mediated by the variable of organized big data analytics (OBDA). The direct effects are shown to be valid irrespective of company size, although the levels of UIC and OBDA are higher in larger firms

Impacts of Online Emotional Advertisement on Customer Behavior Moderated by Brand Attachment

Emotional advertisement has recently caught attention as an effective tool of marketing communication. However, this research has been scarce in the online context. This research investigates the impact of online emotional advertisement on customer behavior with the moderator of brand attachment. Since brand attachment reflects certain conditions of the emotional state of consumers, it is assumed to be related to the effect of emotional appeal in advertising. We showed three types (emotional, informational, and mixed) of online movie advertisements of two items to Japanese undergraduate students, and conducted two questionnaires: one on the brand attachment and the other on purchase intention and engagement behavior. Results demonstrated that online emotional advertisement impacted both engagement behavior and purchase intention, while online informational one did so only on the purchase intention. The moderating effect of brand attachment was confirmed only in online emotional advertisements of one item on engagement behavior

Intravenous injection of ghrelin induced expression of c-Fos protein in central neurons in rats

The present study was aimed to survey central neurons that might be activated after peripheral administration of ghrelin, by examining the distribution of neurons expressing c-Fos protein. In the test experiment, ghrelin (20 , μg/kg) was intravenously in

Absence of Cellular Triamines in Four Novel Flavobacteria Located in Flavobacterium -Flexibacter- Cytophaga Complex

The possibility of the absence of cellular triamines in the four flavobacteria, Flammeovirga aprica IAM 14298, 'Flexibacter aurantiacus subsp. Copepodarum' IFO 15978, 'Microscilla arenaria' IFO 15982 and Saprospira grandis NCIMB 1363, phylogenetically lo

Co-Purchase Analysis by Hierarchical Network Structure

A vast increase in computing power has enabled Social Network Analysis (SNA) to find its application in a variety of disciplines beyond its traditional use as a tool for sociologists to understand human networks. A few researchers in marketing has begun to be interested in applying SNA to investigate network structures formed of co- purchase relationships among products in the market. However, prior research only stopped at examining overall characteristics of the network, limiting its analytical capability to limited evaluation criteria such as density and degree contribution of the entire network. This research extends the SNA-based co-purchase analysis framework by incorporating the inter-community and intra-community characteristics of the network. We tested our framework by applying it to the analysis of annual ID-POS data on 36,981 customers of a supermarket in Fukuoka, Japan. Results demonstrated the capability of the framework to identify relationships among product communities and intra-community roles of products

A Bibliographic Network Analysis of Big Data Literature

The spread of big data utilization has made impacts on various disciplines, resulting in a rapid increase in number of related articles. With the rapidness and high volume, understanding the breadth of big data-related research through literature review is becoming difficult. This study applies social network analysis methods to a bibliographic network of 6,100 big data-related articles published since the year 2008. Seven different fields of study are identified to have a community of big data-related research in 2016. Results of a longitudinal analysis reveal big data-related research in information systems studies is a recent phenomenon began in 2015. Results of sub-community analysis imply business intelligence and analytics are the main building blocks of big data research in information systems studies. From a methodological perspective, this study contributes by exemplifying use of bibliographic coupling for mapping the literature on a rapidly developing area of research such as big data