Elektron tijoratda katta ma'lumotlar tahlili: tizimli ko'rib chiqish va kelajakdagi tadqiqotlar uchun kun tartibi

1-ilova: Elektron tijoratda katta ma'lumotlar tahlilining (BDA) aniq jihatlari

Study

Potential research areas

Definition

Purpose

Davenport (2006)

E-commerce functions: production and operations (e.g., supply chain flows), marketing (e.g., promotion), human resources (e.g., employee performance), finance (e.g., controlling fraud), and research and development (R&D).

BDA refers to based’ analysis making.

‘quantitative fact- aiding decision

Analytics advantage.

to

gain

competitive

Davenport

and

E-commerce functions: finance (e.g., merger &

BDA refers to the use of data,

Analytics to help build distinctive

Harris (2007b)

acquisition), manufacturing, R&D, human resources (e.g., hire, retain, and promote the best people),

statistical and quantitative analysis through explanatory and predictive

capabilities in an intensely competitive business environment.

marketing (e.g., identifying profitable and loyal

models for facilitating fact-based

customers), and supply chain (e.g., lowest possible

management decisions and actions.

inventory without compromising stockouts).

Bose (2009)

E-commerce functions including: marketing (direct marketing, customer segmentation, pricing), supply chain (choice of channel partners), and finance (customer profitability analysis).

BDA refers to a group of tools used in combination to gain insights in order to direct, optimize, and automate decision making for achieving organizational goals.

Assisting business managers to effectively understand the drivers behind advanced analytics implementation.

Shanks et al. (2010)

Functional areas including: production and operations (sales forecasts, production plans, order deliveries) and marketing (customer attrition, customer profitability, response rate of marketing campaigns, differential pricing, etc.).

BDA refers to data interpretation to generate insights that improve decision making, and optimize business processes.

Technology and capabilities using analytics lead to value-creating actions to improve firm performance and competitive advantage.

Manyika et al. (2011)

All e-commerce functions including: operations, and the supply chain.

marketing,

BDA creates value by creating transparency, discovering needs, exposing variability, and improving performance.

Potential value of big data for organizations and the economy, outlining the ways to capture that value.

LaValle et al. (2011)

All e-commerce functions including: marketing (loyalty/retention/defection), finance (e.g., budgeting, revenue growth, cost efficiency), human resources management (workforce planning/allocation), operations and production.

BDA is about insights—descriptive, predictive, and prescriptive—to deliver actions that are closely linked to business strategy and to organizational processes that take place at the right time.

Insightful evidence to help organizations understand the opportunity provided by information and advanced analytics.

Agarwal and Weill (2012)

Data in conjunction with emotion significantly strengthen the firm’s analytical ability for marketing (e.g., customer empowerment), human resources (e.g., employee empowerment), and supply chain (channel