Personalized Key Drivers for Individual Responses in Regression Modeling

2020 ◽  
Vol 9 (3) ◽  
pp. 15-30
Author(s):  
Stan Lipovetsky
Keyword(s):  
Cooperative Game Theory ◽  
Marketing Research ◽  
Regression Modeling ◽  
Relative Importance ◽  
Aggregate Level ◽  
Risk And Uncertainty ◽  
Managerial Decisions ◽  
Predictor Importance ◽  
Key Drivers ◽  
Numerical Estimations

Identification of personalized key drivers is useful to managers in finding a special set of tools for each customer for a better contingency to a higher satisfaction and loyalty and for diminishing risk and uncertainty of decision making. Finding the most attractive attributes of a product for a buyer, or the main helpful features of a medicine for a patient, can be considered via identifying the key drivers in regression modeling. The problem of predictor importance is usually considered on the aggregate level for a set of all respondents. This article shows how to identify a specific set of key drivers for each individual respondent. Two techniques are proposed: the orthonormal matrices used for the relative importance by Gibson and R. Johnson, and the cooperative game theory by Shapley value of predictors in regression. Numerical estimations show that a specific set of key drivers can be found for each respondent or customer, that can be valuable for managerial decisions in marketing research and other areas of practical statistical modeling.

scholarly journals Bayesian Sensitivity-Specificity and ROC Analysis for Finding Key Drivers

2021 ◽  
Vol 19 (1) ◽  
pp. 2-15
Author(s):  
Stan Lipovetsky ◽  
Michael W. Conklin
Keyword(s):  
Receiver Operating Characteristic ◽  
Statistical Modeling ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Regression Modeling ◽  
Modeling And Analysis ◽  
Numerical Comparisons ◽  
Key Drivers ◽  
Sensitivity Specificity ◽  
Receiver Operating

Finding key drivers in regression modeling via Bayesian Sensitivity-Specificity and Receiver Operating Characteristic is suggested, and clearly interpretable results are obtained. Numerical comparisons with other techniques show that this methodology can be useful in practical statistical modeling and analysis helping to researchers and managers in making meaningful decisions.

scholarly journals Customer Experience: Are We Measuring the Right Things?

2011 ◽  
Vol 53 (6) ◽  
pp. 771-772 ◽  
Author(s):  
Stan Maklan ◽  
Philipp Klaus
Keyword(s):  
Customer Value ◽  
Marketing Research ◽  
Service Marketing ◽  
Active Role ◽  
Customer Experience ◽  
Theory And Practice ◽  
Marketing Theory ◽  
Total Quality ◽  
Managerial Decisions ◽  
The Right

Marketing theory and practice evolved dramatically through a series of transformations from products to services and, recently, customer experiences. Each stage has its own perspective on marketing's purpose, the nature of customer value, and measurements that calibrate performance and guide managerial decisions. The latter is of particular interest to market researchers. Measurement (research) typically lags behind changes in marketing theory due to institutional factors and the time it takes for new practices to diffuse. The authors posit that firms still measure customer experience against criteria more suited to evaluating product and service marketing. Research practice seems rooted in 1990s notions of service quality, itself an outgrowth of total quality management (TQM) originating in manufacturing during the 1980s. The authors argue that market researchers will serve their organisations and customers better if they take an active role in updating the customer experience measurement commensurate with advances in the conceptualisation of that which firms offer customers.

scholarly journals Relating marine ecosystem indicators to fishing and environmental drivers: an elucidation of contrasting responses

2009 ◽  
Vol 67 (4) ◽  
pp. 787-795 ◽  
Author(s):  
Jason S. Link ◽  
Dawit Yemane ◽  
Lynne J. Shannon ◽  
Marta Coll ◽  
Yunne-Jai Shin ◽  
...  
Keyword(s):  
Marine Ecosystem ◽  
Ecosystem Dynamics ◽  
Environmental Drivers ◽  
Ecosystem Change ◽  
Relative Importance ◽  
Ecosystem Sensitivity ◽  
Ecosystem Indicators ◽  
Proxy Indicators ◽  
Key Drivers ◽  
Ecosystem Drivers

Abstract Link, J. S., Yemane, D., Shannon, L. J., Coll, M., Shin, Y-J., Hill, L., and Borges, M. F. 2010. Relating marine ecosystem indicators to fishing and environmental drivers: an elucidation of contrasting responses. – ICES Journal of Marine Science, 67: 787–795. The usefulness of indicators in detecting ecosystem change depends on three main criteria: the availability of data to estimate the indicator (measurability), the ability to detect change in an ecosystem (sensitivity), and the ability to link the said change in an indicator as a response to a known intervention or pressure (specificity). Here, we specifically examine the third aspect of indicator change, with an emphasis on multiple methods to explore the “relativity” of major ecosystem drivers. We use a suite of multivariate methods to explore the relationships between a pre-established set of fisheries-orientated ecosystem status indicators and the key drivers for those ecosystems (particularly emphasizing proxy indicators for fishing and the environment). The results show the relative importance among fishing and environmental factors, which differed notably across the major types of ecosystems. Yet, they also demonstrated common patterns in which most ecosystems, and indicators of ecosystem dynamics are largely driven by fisheries (landings) or human (human development index) factors, and secondarily by environmental drivers (e.g. AMO, PDO, SST). How one might utilize this empirical evidence in future efforts for ecosystem approaches to fisheries is discussed, highlighting the need to manage fisheries in the context of environmental and other human (e.g. economic) drivers.

scholarly journals Dynamic capabilities, value creation and value capture: Evidence from SMEs under Covid-19 lockdown in Poland

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252423
Author(s):  
Wojciech Dyduch ◽  
Paweł Chudziński ◽  
Szymon Cyfert ◽  
Maciej Zastempowski
Keyword(s):  
Value Creation ◽  
Dynamic Capabilities ◽  
Black Swan ◽  
Regression Analyses ◽  
Value Capture ◽  
Business Survival ◽  
First Order ◽  
Managerial Decisions ◽  
Key Drivers ◽  
And Performance

Dynamic capabilities, resulting from activities that allow conscious and skillful modification of a firm’s strategic potential, are seen as one of the key drivers of a firm’s value creation, competitive advantage and above-average performance in changing environments. However, little is known about how dynamic capabilities can shape business survival and performance during crises. The research objective of this paper is twofold. First, through a literature review, we seek to identify which first-order dynamic capabilities–managerial decisions under uncertainty—are vital for rapid response to a crisis. Second, we present the results of research carried out among 151 small and medium-sized companies in Poland immediately after the beginning of the economic lockdown (April 2020). The survey that we developed identifies which dynamic capabilities were essential for businesses to survive during this unexpected black swan event. We also present dependence and regression analyses showing the links between the identified dynamic capabilities and value creation, understood as retaining employees and production levels, as well as value capture, understood as maintaining cash flow and current revenues.

scholarly journals PHARMACOTHERAPY OF PSORIASIS SUPPORT WITH ANTIPHOSPHOLIPID SYNDROME: ABC/VEN ANALYSIS OF ANTI-VIRAL DRUGS

2021 ◽  
Vol 1 (1) ◽  
pp. 1-12
Author(s):  
Ihor Hayduchok
Keyword(s):  
Antiphospholipid Syndrome ◽  
Scientific Literature ◽  
Marketing Research ◽  
Dosage Forms ◽  
Research Topic ◽  
Systemic Autoimmune Diseases ◽  
Immunomodulatory Agents ◽  
Managerial Decisions ◽  
Diagnostic Codes ◽  
Medical Forms

The aim was to research the pharmacotherapy of psoriasis with antiphospholipid syndrome based on ABC/VEN analysis of antiviral drugs. The materials of the study were the clinical and pharmacological groups for pharmacotherapy of psoriasis on the background of antiphospholipid syndrome. Regulatory, documentary, marketing, pharmacoeconomic, ABC/VEN research methods were used. Studied the clinical and pharmacological groups of the most drugs INN for basic pharmacotherapy of psoriasis have diagnostic codes of ATC classification L "Antineoplastic and immunomodulatory agents" and code M "Agents affecting the musculoskeletal system". In the article, the results of share of different medical forms of drugs for pharmacotherapy of psoriasis with antiphospholipid syndrome were shown. Matrix of the consolidated ABC-VEN analysis of drugs for pharmacotherapy of psoriasis with antiphospholipid syndrome was developed during the research. Shown the relevance and necessity of the chosen research topic because of a review of the scientific literature on epidemiology and pharmacotherapy. Marketing research of medicines were determined by assortment, country of origin, dosage forms, and registration certificates. Estimated that in the A/E categories, drugs coincide and are in a niche with an affordable share (17.04%). In terms of priority for pharmacotherapy of psoriasis on the background of antiphospholipid syndrome, a matrix of the combined ABC/VEN analysis was developed. The results of the study provide an opportunity to make administrative and managerial decisions in determining the pharmacotherapy of psoriasis with antiphospholipid syndrome to improve the use pharmaceutical provision for patients with systemic autoimmune diseases.

Supercritical Pitchfork Bifurcation in Implicit Regression Modeling

2010 ◽  
Vol 1 (4) ◽  
pp. 1-9 ◽  
Author(s):  
Stan Lipovetsky
Keyword(s):  
Real World ◽  
Chaotic Systems ◽  
Marketing Research ◽  
Pitchfork Bifurcation ◽  
Research Data ◽  
Regression Modeling ◽  
Implicit Functions ◽  
Real World Data ◽  
Car Industry ◽  
Modeling Analysis

Chaotic systems have been widely studied for description and explanation of various observed phenomena. The problem of statistical modeling for messy data can be attempted using the so called Supercritical Pitchfork Bifurcation (SPB) approach. This work considers the possibility of applying SPB technique to regression modeling of the implicit functions. Theoretical and practical advantages of SPB regression are discussed with an example from marketing research data on advertising in the car industry. Results are very promising, which can help in modeling, analysis, interpretation, and lead to understanding of the real world data.

Peopleware

2011 ◽  
pp. 1-17 ◽  
Author(s):  
R. Ryan Nelson ◽  
Peter A. Todd
Keyword(s):  
Job Satisfaction ◽  
Information Technology ◽  
Best Practices ◽  
Relative Importance ◽  
Key Drivers ◽  
Develop Strategy ◽  
It Personnel ◽  
Management Work ◽  
Over Time

The hiring and retention of IT personnel has remained a top priority for managers given the increasingly important role that information technology plays in the success of virtually all companies today. In this chapter, through a series of case studies, we report on a set of best practices that are designed to help organizations develop strategy, recruit, hire, develop, compensate, and ultimately retain valued IT personnel. In addition, a model is presented that describes the key drivers of job satisfaction, and ultimately determine turnover. It is suggested that the relative importance of these drivers, which include the quality of management, work attributes, compensation, and career development, will change for employees over time. Therefore, managing these drivers using the identified best practices can significantly assist organizations in attracting and retaining IT personnel.

scholarly journals Importance, Causes, and Management Responses to Farm Risks: Evidence From Florida and Alabama

1985 ◽  
Vol 17 (2) ◽  
pp. 105-116 ◽  
Author(s):  
William G. Boggess ◽  
Kwabena A. Anaman ◽  
Gregory D. Hanson
Keyword(s):  
Risk Management ◽  
Logistic Regression ◽  
Management Practices ◽  
Summary Statistics ◽  
Relative Importance ◽  
Risk And Uncertainty ◽  
Chi Square ◽  
Perceptions Of Risk ◽  
Regression Techniques ◽  
Random Survey

AbstractDespite the contention that risk and uncertainty play an important role in agriculture in North Florida and South Alabama, very little is known about producers' perceptions of risk. This paper describes the procedures used and the results obtained from a statistically random survey of farmers' perceptions of the importance of various sources of risk and alternative risk management practices. Initially, farmers were asked to define risk and then to rank various sources of risk and management responses to risk based on the relative importance of each to their operation. Summary statistics, Chi-square analyses, and logistic regression techniques were used to analyze the data.

Modelling Credit Default in Microfinance—An Indian Case Study

2017 ◽  
Vol 16 (3) ◽  
pp. 246-258 ◽  
Author(s):  
P. K. Viswanathan ◽  
S. K. Shanthi
Keyword(s):  
Credit Card ◽  
Credit Scoring ◽  
Default Probability ◽  
Relative Importance ◽  
Microfinance Institutions ◽  
Scoring Method ◽  
Credit Score ◽  
Credit Default ◽  
Key Drivers

Credit score models have been successfully applied in a traditional credit card industry and by mortgage firms to determine defaulting customer from the non-defaulting customer. In the light of growing competition in the microfinance industry, over-indebtedness and other factors, the industry has come under increased regulatory supervision. Our study provides evidence from a large microfinance institutions (MFI) in India, and we have applied both the credit scoring method and neural network (NN) method and compared the results. In this article, we demonstrate the capability of credit scoring models for an Indian-based microfinance firm in terms of predicting default probability as well the relative importance of each of its associated drivers. A logistic regression model and NN have been used as the predictive analytic tools for sifting the key drivers of default.

scholarly journals Maximizing participation from online survey panel members

2019 ◽  
pp. 147078531988070 ◽  
Author(s):  
Kylie Brosnan ◽  
Astrid Kemperman ◽  
Sara Dolnicar
Keyword(s):  
Qualitative Study ◽  
Choice Experiment ◽  
Online Survey ◽  
Relative Importance ◽  
Stated Choice ◽  
Online Panel ◽  
Survey Participation ◽  
Key Drivers ◽  
Practical Guidance ◽  
Online Panels

Low survey participation from online panel members is a key challenge for market and social researchers. We identify 10 key drivers of panel members’ online survey participation from a qualitative study and then determine empirically using a stated choice experiment the relative importance of each of those drivers at aggregate and segment levels. We contribute to knowledge on survey participation by (a) eliciting key drivers of survey participation by online panel members, (b) determining the relative importance of each driver, and (c) accounting for heterogeneity across panel members in the importance assigned to drivers. Findings offer immediate practical guidance to market and social researchers on how to increase participation in surveys using online panels.

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