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genpathmox (version 0.9)

csibank: csibank

Description

csibank

Usage

csibank

Arguments

Format

csibank data refers to a 2008 marketing research study of a leading Spanish firm providing retail financial services. For confidentiality reasons, the complete details of the survey-based study will not be provided, only a description of the variables. The data include a total of 32 variables, measured for 1707 clients. The 32 variables are divided into two groups: a group formed of 27 indicator variables for the structural model, and a group formed of 5 categorical variables. Each block of indicators refers to a specific construct.

Latent variable description:

  • IMAG: Includes variables such as reputation, trustworthiness, seriousness, solidness, and caring about customer's needs

  • EXPE: Includes variables such as products and services provided, customer service, solution provision, and expectations for overall quality

  • QUAL: Includes variables such as reliable products and services, range of products and services, personal advice, and overall perceived quality

  • VAL: Includes variables such as beneficial services and products, valuable investments, quality relative to price, and price relative to quality

  • SAT: Includes variables such as overall satisfaction rating, fulfillment of expectations, satisfaction relative to other banks, and performance relative to an ideal bank

  • LOY: Includes variables such as likelihood of choosing the same bank again, likelihood of switching to another bank, intention to recommend the bank to friends, and feeling of loyalty

Manifest variables description:

  • imag1: Bank's reputation

  • imag2: Trustworthiness

  • imag3: Bank's solidity

  • imag4: Bank's emphasis on public affairs

  • imag5: Fifth MV of the block Image

  • imag6: Caring about the customer’s needs

  • expe1: Providing products and services to meet the customer's needs

  • expe2: Providing customer service

  • expe3: Providing solutions to daily banking needs

  • expe4: Expectations of overall quality

  • qual1: Reliable products and services

  • qual2: Range of products and services

  • qual3: Degree to which customer feels well informed

  • qual4: Personal advice

  • qual5: Customer service

  • qual6: Overall rating of perceived quality

  • qual7: Overall rating of satisfaction

  • val1: Beneficial services and products

  • val2: Valuable investments

  • val3: Quality relative to price

  • val4: Price relative to quality

  • sat1: Overall rating of satisfaction

  • sat2: Fulfillment of expectations

  • sat3: Rating the performance relative to customer's ideal bank

  • loy1: Propensity to choose the same bank if the customer had to choose again

  • loy2: Propensity to switch to other banks if they offered better terms

  • loy3: Customer's intention to recommend the bank to friends or colleagues

Categorical variables description:

  • Gender: Gender of the customers, a factor with levels: Female and Male

  • Age: Age of the customers, a factor with levels: <=25, 26-35, 36-45, 46-55, 56-65, and >=66

  • Education: Education of the customers, a factor with levels: Elementary, Graduated, Highschool, Undergrad, and Unfinished

  • Occupation: Occupation of the customers, a factor with levels: Manager, MediumEmplo, Notemploy, OwnFreelan, and Retired

  • Region: Region of residence of the customers, a factor with levels: Center, East, North

References

Lamberti, G. et al. (2017). The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments.Applied Stochastic Models in Business and Industry, doi: 10.1002/asmb.2270.

Lamberti, G. (2014) Modeling with Heterogeneity. PhD Dissertation.