Modeling Purchase-Timing and Brand-Switching Behavior Incorporating Explanatory Variables and Unobserved Heterogeneity

1991 ◽  
Vol 28 (1) ◽  
pp. 29-41 ◽  
Author(s):  
Naufel J. Vilcassim ◽  
Dipak C. Jain
Keyword(s):  
Unobserved Heterogeneity ◽  
Switching Behavior ◽  
Explanatory Variables ◽  
Brand Switching

Network analyses of brand switching behavior

1996 ◽  
Vol 13 (5) ◽  
pp. 415-429 ◽  
Author(s):  
Dawn Iacobucci ◽  
Geraldine Henderson ◽  
Alberto Marcati ◽  
Jennifer Chang
Keyword(s):  
Switching Behavior ◽  
Network Analyses ◽  
Brand Switching

The Dynamics of Resistance to Brand Switching in the Smartphones Industry

2019 ◽  
pp. 179-209
Author(s):  
Dominic Appiah ◽  
Wilson Ozuem
Keyword(s):  
Brand Loyalty ◽  
Marketing Research ◽  
Business Environment ◽  
Switching Behavior ◽  
Psychological Benefits ◽  
Brand Relationships ◽  
Technological Revolution ◽  
Brand Switching ◽  
Social Meanings ◽  
The Impact

The impact of identity on brand loyalty has taken precedence as an area of focus in recent marketing research. This has taken place in an era defined by technological revolution, which has created market disruptions, and there are implications for customer-brand relationships. Nonetheless, existing research has failed to acknowledge the impact of socio-psychological attributes and functional utility maximization. Knowledge that illuminates how firms can reposition themselves to sustain brand loyalty when disruptions occur in today's complex and globalized business environment is also required. This study will present an empirical investigation into the phenomenon of brand switching behavior among consumers in a specific competitive market, the smartphone industry. It explores how resistance could be built from an identity theory perspective, as emphasis has historically been placed on the functional utility of products at the expense of social meanings. This study provides consideration for market disruptions in the smartphone industry and confirms that the literature does not capture other non-utilitarian factors such as socio-psychological benefits, hence there are underlying factors that motivate consumers to continue buying brands they buy.

Sales Promotional Strategies and Buying Behavior in an Emerging Market at the Post Recession Period

2016 ◽  
pp. 239-262
Author(s):  
Süphan Nasır ◽  
Esra Bal
Keyword(s):  
Emerging Market ◽  
Switching Behavior ◽  
Buying Behavior ◽  
Price Discount ◽  
Sales Promotions ◽  
Price Discounts ◽  
Product Trial ◽  
Brand Switching ◽  
Promotional Strategies ◽  
Recession Period

The aim of this study is to investigate the influence of sales promotional tools on consumer buying behavior in an emerging market at the post-recession period. This study assesses consumers' proneness to sales promotions and examines the effectiveness of four promotional tools that are premium offers, coupons, buy and get promotions, and price discounts on buying behavior in terms of brand switching, stockpiling, purchase acceleration, and product trial. The findings reveal that consumers are more prone to price discount and buy and get promotions, respectively. Among the four promotional tools, price discount is the most effective to influence product acceleration, brand switching, stockpiling, and product trial behavior respectively. However, there is no statistically significance difference between the effectiveness of premium offer and buy and get deals with regard to brand switching behavior, product acceleration, and product trail responses. In contrast, coupons are the least ineffective promotional tool in terms of generating all types of consumer response.

scholarly journals Discrete Choice Data with Unobserved Heterogeneity: A Conditional Binary Quantile Model

2019 ◽  
Vol 28 (2) ◽  
pp. 147-167
Author(s):  
Xiao Lu
Keyword(s):  
Discrete Choice ◽  
Unobserved Heterogeneity ◽  
Discrete Choice Models ◽  
Choice Data ◽  
Science Data ◽  
Explanatory Variables ◽  
Conditional Mean ◽  
Heterogeneous Effects ◽  
Discrete Response ◽  
Legislative Proposals

In political science, data with heterogeneous units are used in many studies, such as those involving legislative proposals in different policy areas, electoral choices by different types of voters, and government formation in varying party systems. To disentangle decision-making mechanisms by units, traditional discrete choice models focus exclusively on the conditional mean and ignore the heterogeneous effects within a population. This paper proposes a conditional binary quantile model that goes beyond this limitation to analyze discrete response data with varying alternative-specific features. This model offers an in-depth understanding of the relationship between the explanatory and response variables. Compared to conditional mean-based models, the conditional binary quantile model relies on weak distributional assumptions and is more robust to distributional misspecification. The model also relaxes the assumption of the independence of irrelevant alternatives, which is often violated in practice. The method is applied to a range of political studies to show the heterogeneous effects of explanatory variables across the conditional distribution. Substantive interpretations from counterfactual scenarios are used to illustrate how the conditional binary quantile model captures unobserved heterogeneity, which extant models fail to do. The results point to the risk of averaging out the heterogeneous effects across units by conditional mean-based models.

Why Switch? Product Category–Level Explanations for True Variety-Seeking Behavior

1996 ◽  
Vol 33 (3) ◽  
pp. 281-292 ◽  
Author(s):  
Hans C. M. Van Trijp ◽  
Wayne D. Hoyer ◽  
J. Jeffrey Inman
Keyword(s):  
Field Study ◽  
Individual Difference ◽  
Choice Behavior ◽  
Product Category ◽  
Switching Behavior ◽  
Variety Seeking ◽  
Brand Switching ◽  
Seeking Behavior ◽  
Key Issues ◽  
The Individual

The authors address two key issues that have received inadequate attention in the choice behavior literature on variety seeking. First, they explicitly separate true variety-seeking behavior (i.e., intrinsically motivated) from derived varied behavior (i.e., extrinsically motivated). Second, they hypothesize variety-seeking behavior to be a function of the individual difference characteristic of need for variety and product category–level characteristics that interact to determine the situations in which variety seeking is more likely to occur relative to repeat purchasing and derived varied behavior. The authors test their hypotheses in a field study of Dutch consumers, which assesses both the intensity of brand switching and the underlying motives for their switching behavior. Results support the importance of isolating variety switches from derived switches and of considering product category–level factors as an explanation for the occurrence of variety-seeking behavior.

Performance analysis of electricity distribution sector post the implementation of electricity act 2003: empirical evidence from India

2020 ◽  
Vol 17 (5) ◽  
pp. 669-696
Author(s):  
Pavan Khetrapal
Keyword(s):  
Stochastic Frontier Analysis ◽  
Corporate Strategy ◽  
Unobserved Heterogeneity ◽  
Stochastic Frontier ◽  
Operational Efficiency ◽  
Electricity Distribution ◽  
Content Type ◽  
Frontier Analysis ◽  
Explanatory Variables ◽  
Utility Managers

PurposeThe objective of the present study is to evaluate and analyse the performance of Indian electricity distribution utilities post the implementation of landmark Electricity Act 2003.Design/methodology/approachStochastic frontier analysis (SFA) that incorporates exogenous influences on operational efficiency is adopted in the present study. Specifically, a stochastic frontier production function model with a technical inefficiency effects model (Battese and Coelli, 1995) is chosen as a preferred model. In this model, the function that explains the inefficiency scores is estimated in a single stage with the production technology. This avoids the problem of inconsistency which is possible in the two-stage approach.FindingsThe sample involved 52 Indian electricity distribution utilities for seven-year period from 2006 to 2013. Major findings of SFA show that Indian electricity distribution utilities post the implementation of Electricity Act (2003) had, on average, experienced efficiency improvement during the observed period. The overall mean technical effciency score is estimated as 78.5% which indicates that there exist wide scope for effciency improvement in the sector. Further, the empirical findings also indicate that publicly owned distribution utilities obtain average technical efficiencies of 71.3%, which is lower than privately owned distribution utilities, which achieve average technical efficiencies of 85.7%.Research limitations/implicationsPower supply quality indicators such as SAIFI, SAIDI, CAIFI, etc. and unobserved heterogeneity also influence the efficiency analysis of electricity distribution utilities. Hence, these parameters as explanatory variables can be incorporated in the future work.Practical implicationsThe results obtained from this empirical study would likely be helpful for utility managers and policymakers to know how well they are performing, and how a better corporate strategy a particular utility can formulate to improve its operational efficiency and also its position in the marketplace.Originality/valueThis paper is amongst the first significant attempts that implement SFA approach to the panel dataset over a longer period of time – 2006 to 2013, so, as to evaluate and analyse the operational efficiency of Indian electricity distribution utilities in a single framework after the enactment of Electricity Act (2003). Unlike previous studies, this study investigates the degree to which various exogenous (or environmental) factors influence efficiency levels in these utilities.

A Probabilistic Choice Model for Market Segmentation and Elasticity Structure

1989 ◽  
Vol 26 (4) ◽  
pp. 379-390 ◽  
Author(s):  
Wagner A. Kamakura ◽  
Gary J. Russell
Keyword(s):  
Market Structure ◽  
Choice Model ◽  
Product Category ◽  
Switching Behavior ◽  
Brand Preference ◽  
Probabilistic Choice ◽  
National Brands ◽  
Brand Switching ◽  
Marketing Variables

Marketing scholars commonly characterize market structure by studying the patterns of substitution implied by brand switching. Though the approach is useful, it typically ignores the destabilizing role of marketing variables (e.g., price) in switching behavior. The authors propose a flexible choice model that partitions the market into consumer segments differing in both brand preference and price sensitivity. The result is a unified description of market structure that links the pattern of brand switching to the magnitudes of own- and cross-price elasticities. The approach is applied in a study of competition between national brands and private labels in one product category.

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