Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Levels of Use of a GIS01:29

Levels of Use of a GIS

109
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
109
Manipulation and Analysis01:21

Manipulation and Analysis

61
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
61
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

70
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
70
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

161
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
161
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

124
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
124
Introduction to GIS01:28

Introduction to GIS

198
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
198

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A 2004-2025 Bibliometric Study of Genetic Variation and Multiomics Biomarkers in Sepsis Based on 940 Publications.

Human mutation·2026
Same author

Comparative efficacy of interventions for jaundice in hilar cholangiocarcinoma: A retrospective analysis using the Mayo staging system.

Medicine·2026
Same author

LncPTEC mediated homocysteine accumulation elevates oxidative stress via UBQLN1-dependent MTHFD1 ubiquitination in DKD.

Cell death & disease·2026
Same author

Prognostic value of the aggregate index of systemic inflammation and controlling nutritional status score for all-cause mortality in patients undergoing maintenance hemodialysis: a retrospective cohort study.

Frontiers in medicine·2026
Same author

Identification of Diagnostic Biomarkers Related to Oxidative Stress in Rheumatoid Arthritis.

Current medicinal chemistry·2026
Same author

Development of a dual-mode immunoassay kit for periostin detection in exhaled breath condensate using α-NaYF<sub>4</sub>@ZIF-67 core-shell nanostructures.

Biosensors & bioelectronics·2026

Related Experiment Video

Updated: Sep 16, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.4K

Mapping service capabilities using ISM and fuzzy DEMATEL.

Tingting Li1, Dan Lv2, Davod Khosroanjom3

  • 1School of Management, Guangdong University Of Science & Technology, Dongguan, 523073, Guangdong, China.

Scientific Reports
|July 6, 2025
PubMed
Summary

Small enterprises (SEs) need strong service capabilities for competitive advantage. This study identifies key criteria and their relationships, highlighting strategy formulation as most crucial for SE success.

Keywords:
Fuzzy DEMATELInterpretive structural modelingResource-based viewService capabilitiesSmall enterprises

More Related Videos

High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

9.5K
Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging
06:15

Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging

Published on: September 15, 2023

558

Related Experiment Videos

Last Updated: Sep 16, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.4K
High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

9.5K
Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging
06:15

Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging

Published on: September 15, 2023

558

Area of Science:

  • Business Administration
  • Management Science
  • Small Business Management

Background:

  • Small enterprises (SEs) face intense competition, requiring continuous enhancement of capabilities for sustained market position.
  • Advancements in SEs are often linked to service capabilities and resources, yet research on evaluating these in isolation is limited.
  • A gap exists in understanding the specific criteria for service capabilities within small firms, especially using hybrid methodologies.

Purpose of the Study:

  • To examine the links among service capability criteria in small enterprises.
  • To analyze the interdependencies and strengths of these criteria using a hybrid approach.
  • To identify the most significant criteria for enhancing service capabilities in SEs.

Main Methods:

  • The study employed the resource-based view (RBV) framework.
  • Interpretive Structural Modeling (ISM) was utilized to map the relationships between criteria.
  • Fuzzy Decision-Making Trial and Evaluation Laboratory (fuzzy DEMATEL) was applied to analyze interdependencies and influence.

Main Results:

  • The research identified key criteria associated with service capabilities in small firms.
  • The analysis revealed significant interdependencies and varying strengths among these criteria.
  • Criterion analysis and strategy formulation emerged as the most critical factors influencing service capabilities.

Conclusions:

  • Service capabilities are vital for small enterprises' competitive positioning.
  • A structured approach, considering interdependencies, is necessary for developing effective service capabilities.
  • Strategic formulation is paramount for leveraging service capabilities in SEs.