Index

Internet+ and Electronic Business in China: Innovation and Applications

ISBN: 978-1-78743-116-4, eISBN: 978-1-78743-115-7

Publication date: 13 December 2017

This content is currently only available as a PDF

Abstract

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

Citation

(2017), "Index", Ye, Q. and Ma, B. (Ed.) Internet+ and Electronic Business in China: Innovation and Applications, Emerald Publishing Limited, Leeds, pp. 577-586. https://doi.org/10.1108/978-1-78743-115-720171021

Publisher

:

Emerald Publishing Limited

Copyright © 2018 Emerald Publishing Limited


INDEX

Agricultural products, e-business

agricultural integration
, 113

bulk commodities trading market
, 114

definition
, 111–112

food track-and-trace system
, 114–116

importing/exporting
, 114

necessity of
, 112–113

operation and business model
, 116

problems and countermeasures of community
, 116–117

social e-business
, 117–119

Amazon.cn

comparison and analysis
, 302–303

competition effect analysis
, 303–308

market share comparison
, 303

two-sided platform
, 301–302

Analysis decision-making level (Aaas)
, 495

Aspect-oriented programming (AoP)
, 568

B2B
, See Business to business (B2B) model

B2C
, See Business to customer (B2C) model

B2G
, See Business to government (B2G) model

B2S2C
, See Business model–Business to Social-network to Customers (B2S2C)

Balanced scoreboard
, 27

BI
, See Business intelligence (BI)

Big data

business intelligence system based on
, 544

characteristics of
, 542–544

definition of
, 541–542

product services
, 7–8

Bilateral market

competition environment
, 308

cross-network externality
, 309–310

Dangdang.com and Amazon.cn

comparison and analysis
, 302–303

competition effect analysis
, 303–308

market share comparison
, 303

two-sided platform
, 301–302

ecosystem theory

business ecosystem theory
, 294–301

economic applications of lotka–volterra interspecific competition
, 293–294

growth under appropriate scale
, 309

platform enterprises
, 308–309

two-sided market theory

competition theory of
, 292–293

features of
, 290–292

BLL
, See Business logic layer (BLL)

Business application level (PaaS)
, 495

Business intelligence (BI)
, 4

application phases of
, 32–34

big data

business intelligence system based on
, 544

characteristics of
, 542–544

definition of
, 541–542

concept of
, 536–541

in customer relationship management
, 37–40

definition of
, 27–28

in e-business enterprises
, 34

information value analysis of
, 29–31

information value dimension model of
, 30

Ke Chuan’s business intelligence system

application of
, 549–552

basic information
, 545–546

main products
, 546–549

KTT Science & Technology Company
, 552–553

and big data
, 553

implementation difficulty
, 555

users of
, 553–554

multi-dimensional analysis of
, 28–29

in supply chain management
, 40–54

technical analysis of
, 31–32

technical dimension model of
, 31

and virtual value chain (VVC)
, 34–37

Business logic layer (BLL)
, 87

Business model–Business to Social-network to Customers (B2S2C)

internet + agriculture
, 110–111

niche products
, 107–110

O2O model
, 106–107

product marketing
, 106

product positioning
, 105–106

strengthen network influence
, 106

Business to business (B2B) model
, 13–14

Business to customer (B2C) model
, 14

Business to government (B2G) model
, 19–21

Carrot
, 2, 370

Cascading style sheets (CSS)
, 566

Channels (CH)
, 111

China Internet Network Information Center (CNNIC)
, 14

China Tax Administration Information System
, 20

Chu’s Orange’s social business marketing
, 141–143

business model
, 143–145

management philosophy
, 145–146

social e-business marketing

case review
, 147–148

humanistic spiritual marketing
, 146

internet + agriculture
, 147

new media marketing
, 146–147

questions
, 148

Communication technology and information technology (ICT)
, 3–4

Crowd funding
, 244

Customer relationship management (CRM)
, 4, 27

Customer relationships (CR)
, 111

Customer segmentation (CS)
, 111

Customer to business (C2B) model
, 15–16

Customer to customer (C2C) model
, 15

Customer to government (C2G) model
, 21–22

Dangdang.com and Amazon.cn

comparison and analysis
, 302–303

competition effect analysis
, 303–308

market share comparison
, 303

two-sided platform
, 301–302

Data acquisition and management level (DaaS)
, 495

Data base (DB)
, 27

Data mining (DM)
, 27, 32

Data store (DS)
, 27

Data ware (DW)
, 27

Day active user (DAU )
, 190

Decision support system (DSS)
, 27

Dirichlet distribution
, 468

E-business

of agricultural products

agricultural integration
, 113

bulk commodities trading market
, 114

definition
, 111–112

food track-and-trace system
, 114–116

importing/exporting
, 114

necessity of
, 112–113

operation and business model
, 116

problems and countermeasures of community
, 116–117

social e-business
, 117–119

augmented reality (AG)
, 9

B2B model
, 13–14

B2C model
, 14

B2G model
, 19–21

and big data
, 6–7

personalized shopping guide
, 7

vertical segments service
, 7–8

broad definition of
, 5

C2B model
, 15–16

C2C model
, 15

C2G model
, 21–22

G2B model
, 17–18

G2C model
, 18–19

G2G model
, 16–17

Internet of Things (IOT)
, 94–97

mix reality (MR)
, 9

O2O model
, 24–26

online experience
, 9–10

and personalization

content of services
, 8–9

and experience
, 9–10

offline experience to online experience
, 10–11

SoLoMo model
, 22–24

users’ satisfaction for
, 404

virtual reality (VR)
, 9

E-business logistics

application of logistics
, 62–63

augmented reality (AR)-related technologies
, 82–83

electronic product code (EFB)
, 77

logistics information
, 57–59

logistics information network

application
, 85–87

impact of
, 67–68

practitioner of
, 68–70

significance of
, 66–67

system structure of
, 83–85

technology
, 71–73

logistics information system
, 59–62, 65–66

logistics network
, 63–65

radio frequency identification (RFID)
, 73–77

radio frequency identification technology (RFID)
, 71

virtual reality (VR) technology
, 80–81

wearable devices
, 77–80

E-commerce, definition of
, 3–6

Ecosystem theory

business ecosystem theory
, 294–301

economic applications of lotka–volterra interspecific competition
, 293–294

Electronic government procurement encompasses
, 20

Emerging e-business

application of
, 91–93

characteristics of modern circulation
, 88–91

inventory management
, 94

modern concept of circulation
, 87–88

sales management
, 93–94

stock management
, 93

Enterprise portal (EP) performance
, 27

Enterprise resource plan (ERP)
, 4, 27

Executive information system (EIS)
, 27, 32

Expectation-maximization (EM) algorithm
, 469

Extract transform load tools (ETL)
, 27, 28

Facebook’s social e-business model

comment and analysis
, 197–198

formation of
, 194

function positioning of
, 194

innovation factor
, 199–200

marketing model
, 195

profit model
, 197

technology model
, 195–197

theory support
, 198–199

Finance + internet

financial disintermediation
, 257

lagging of operation pattern
, 258

Lufax’s

business model of
, 261–265

case questions
, 265

comments and analysis
, 263–265

Lfex
, 262–263

P2P business
, 262

theoretical foundation of

advantages of traditional financial institution
, 258–259

traditional financial institution
, 257–258

wavering of customer foundation
, 257

Government to business (G2B) model
, 17–18

Government to customer (G2C) model
, 18–19

Government to government (G2G) model
, 16–17

Information coverage

diversity extraction measurements
, 424–426

heuristic algorithm based on
, 406–421

information redundancy
, 422–424

measure
, 374–375

actual application scenarios
, 395–400

coverage of information content
, 375–376

information redundancy
, 385–387

measure calculation processes
, 388–391

measure comparison
, 391–395

proximity of information structure
, 377–382

unified measure of information coverage
, 383–384

Information retrieval model

Boolean model
, 343–344

extended information retrieval model
, 346–349

information search services

clustering-based extraction methods
, 360–361

existing coverage degree measures
, 352–354

existing redundancy degree measures
, 354–357

search result diversification methods
, 357–360

typical measures of information retrieval
, 349–352

probabilistic model
, 345

vector space model (VSM)
, 344–345

Infrastructure level (IaaS)
, 495

International telecommunications union (ITU)
, 95

Internet + agriculture, concepts concerning
, 110–111

Internet + resource enterprises

comments on project
, 503–504

contemporary decision-making theory
, 489–490

DY coal group
, 490–494

under BIS
, 496–497, 502

standard system and guarantee system construction
, 497–500

informatization in
, 486–488

questions
, 504

resource-based enterprise
, 486–488

SWOT analysis
, 494–495

Internet finance

community coverage
, 246

development status of

in China
, 256

Chinese internet finance
, 255

UK internet finance industry
, 249–251

US internet finance industry
, 251–255

financial disintermediation
, 246

information asymmetry
, 246

internet finance mechanism
, 247–248

introduction to
, 240–242

long-tail effect
, 246

lower transaction costs
, 245

supervision of
, 248

traditional theories and industries
, 247

transaction possibility
, 246

types of

crowd funding
, 244

internet finance sales platform
, 243

internet insurance
, 245

internet securities
, 244–245

peer-to-peer lending
, 243–244

third-party payment
, 242–243

Internet finance sales platform
, 243

Internet insurance
, 245

Internet of Things (IOT)
, 94–97

Internet securities
, 244–245

Key activities (KA)
, 111

Key opinion leaders (KOL)
, 106

Key partnerships (KP)
, 111

Key resources (KR)
, 111

KeySRC
, 370

Knowledge discovery in databases (KDD)
, 29

KTT Science & Technology Company
, 552–553

and big data
, 553

implementation difficulty
, 555

users of
, 553–554

Lightweight reverse control (IoC)
, 568

Long tail theory
, 104–105

Lufax’s

business model of
, 261–265

case questions
, 265

comments and analysis
, 263–265

Lfex
, 262–263

P2P business
, 262

Management information system (MIS)
, 27

Management platform level (PaaS)
, 495

MAX COVERAGE problem
, 407–408

Meituan–Dianping

comment and analysis
, 235–236

development situation of
, 228–229

introduction of
, 229–230

local life service of
, 231–234

mobile-service-aided
, 234–235

O2O model of
, 230–231

social orientation service of
, 234

Mitubaba’s social e-commerce model
, 119–127

business model
, 122–127

comments and analysis

one-unity expansion
, 127–128

opening and extension
, 128

personalized service
, 127

Mobile internet

centralization transformation
, 532

customization transformation
, 531

mobile electronic commerce
, 513–514

platformization transformation
, 532

telecom marketing channel
, 507–508

function of
, 511–513

structure of
, 508–511

Yunnan mobile

centralized operation strategy
, 529–531

construction situation of electronic channels
, 516

construction situation of entity channels
, 515–516

platformization operating strategy
, 527–529

YNYD channel transformation planning and strategy
, 519–521

YNYD marketing channel transformation
, 521–527

YNYD marketing channels
, 517–519

Niche product
, 104–105

NYW’s agricultural e-business platform

activity marketing
, 168–169

business processes
, 156–158

case review
, 169–171

crowd funding of agricultural micro projects
, 156

entrepreneurship and training
, 156

famous agricultural products
, 155

profit model
, 158–161

promotion and marketing
, 163–167

rural tourism e-business
, 155, 161

SWOT analysis
, 162–163

traditional marketing
, 167–168

Offline to online (O2O) model

acceptance in
, 225–226

algorithm improvement in
, 226

car hailing service application
, 227

definition of
, 223–224

features of
, 224–228

group purchasing
, 226–227

local service
, 224

mobile service
, 225

quality evaluation in
, 225

social-oriented service
, 224

takeout e-business
, 228

On-line analysis process (OLAP)
, 27, 28, 29

Online reviews

actual application scenarios
, 454–455

clustering algorithms
, 436–439, 440–445

data pre-processing
, 434–435

data pre-processing strategies
, 448–450

datasets
, 433–434

development of emotional clustering
, 451–454

emotional clustering setting in
, 431–432

evaluation measure
, 439–440

term weighting models
, 435–436, 446–448

Open to buy (OTB)
, 93

Peer-to-peer lending
, 243–244

Probabilistic topic modeling

actual application scenarios
, 475–478

phases
, 470–474

semantic search framework

LDA model
, 466–469

two-process semantic search framework
, 470

user’s semantic search phases
, 474–475

Professional Hypertext Preprocessor (PHP)
, 153

Query and Report
, 27

Renminbi (RMB)
, 14

Renren.com

application programming interface (API)
, 323

business pattern of
, 320–322

e-commerce
, 325

games combined operation pattern
, 323

marketing pattern of
, 320

mobile open platform
, 324

network ad
, 323

profile
, 319

profit pattern
, 322–324

promotion pattern of
, 320–322

social e-business model

application program applications (APP)
, 190

comments and analysis
, 192–193

e-business
, 191

joint games operation model
, 189–190

marketing model of
, 186–187

network advertisement
, 189

profit model
, 189–192

promotion model of
, 187–188

SWOT analysis
, 192

technological model
, 189

value-added service
, 190–191

SWOT analysis
, 325

technical pattern
, 322

theoretical pattern of

linear regression analysis
, 331–332

R-I pattern
, 325–328

regression analysis
, 332–334

SAP predictive analysis
, 328–331

triple exponential smoothing algorithm
, 331–332

value-added service
, 324

Resource description framework (RDF)
, 463

Revenues (R$)
, 111

Singular-value decomposition (SVD)
, 465

Social business
, See Social network services (SNS)

Social campus Witkey system

analysis
, 559–560

characteristics and categories
, 560–562

comments
, 570–571

commercial pattern
, 562–564

business operation process
, 566

market positioning
, 564–565

market subdivision
, 565–566

platform promotion strategy
, 567

profit pattern
, 566–567

e-commerce patterns
, 562

personalized recommendation
, 569–570

association between objects
, 570

extract task attributes
, 570

extract user attributes
, 570

questions
, 571

technology program

division + cascading style sheets
, 569

FreeMarker
, 568

hibernate
, 568

JavaScript
, 568–569

MVC framework
, 567–568

theory
, 558–570

Social e-business
, 118–119

Chu’s Orange’s social business marketing

case review
, 147–148

humanistic spiritual marketing
, 146

internet + agriculture
, 147

new media marketing
, 146–147

questions
, 148

concept and characteristics
, 117–118

model
, 118

Social network marketing theory
, 102–104

Social network services (SNS)

business model of

management model
, 183–184

profit model
, 182–183

technological model
, 184–185

concept
, 176–177

development trend of
, 185–186

marketing values
, 317–319

R-I pattern
, 319

Rule of
, 150, 179–180

six degrees of separation
, 178–179

social commerce
, 178, 315–317

social network analysis (SNA)
, 313–314

spatial evolution
, 314–315

spread of social behaviors
, 180–181

structural holes theory
, 181–182

virtual community e-business

social network structure analysis theory
, 204

two-sided market theory
, 202–204

user needs creation theory
, 202

Water Margin Community
, 205–209

WeChat Lucky Money
, 209–221

SoLoMo (social, local, and mobile) business models
, 4, 22–24

Statistical analysis
, 27

Stock keeping unit (SKU)
, 26

Structural holes theory
, 181–182

Supply chain management (SCM)
, 4, 27

SWOT analysis

analysis of XS Company’s current business model
, 135–136

existing business models
, 138

high-end oil industry
, 135

industry threat
, 134–135

international recognition threat
, 135

market share
, 133

marketing space
, 136–137

opportunities
, 134

profit
, 133

promotion channel
, 137

quality strength
, 132–133

resource strength
, 132

technology
, 133

threats
, 134–135

weaknesses
, 133–134

TDJ Special Local Product Mall
, 148–149

business model
, 151–152

case review
, 153–154

market positioning of
, 149–150

profit model
, 152–153

questions
, 154

technology model
, 153

value flow of
, 150

Third-party payment
, 242–243

UK internet finance industry
, 249–251

US internet finance industry
, 251–255

User generated content (UGC)
, 178, 461

Value proposition (VP)
, 111

Virtual value chain (VVC)
, 34–37

Walnut oil business’ B2S2C model

case review
, 138–140

market scope
, 130

market share and operating conditions
, 131–132

operation status and goal planning
, 130–131

social e-business

market positioning
, 140

market segmenting
, 140

offline promotion
, 141–142

online promotion
, 141

SWOT analysis

analysis of XS Company’s current business model
, 135–136

existing business models
, 138

high-end oil industry
, 135

industry threat
, 134–135

international recognition threat
, 135

market share
, 133

marketing space
, 136–137

opportunities
, 134

profit
, 133

promotion channel
, 137

quality strength
, 132–133

resource strength
, 132

technology
, 133

threats
, 134–135

weaknesses
, 133–134

XS Company overview
, 128–130

Water Margin Community

adjustment of
, 205–208

business model of
, 205

comments and analysis
, 208

introduction of
, 205

questions
, 208–209

WeChat Lucky Money

background
, 209–210

comment and analysis
, 217–219

economy
, 217–219

external economy of
, 218

marketing model
, 210–211

product economy of
, 218

profit model
, 212–213

questions
, 219–220

scale economies of
, 218–219

social marketing and needs creation of
, 210

speed economy of
, 217–218

technology model
, 213–217

video and image marketing strategy
, 211

virus marketing strategy
, 211

Witkey
, See Social campus Witkey system