Social Identity and the Service-Profit Chain

The conventional service profit chain (SPC) proposes that a firm’s financial performance can be improved via a path that connects employee satisfaction, customer orientation, customer satisfaction and customer loyalty. In this paper, a complementary SPC is introduced which is built on both a conventional path as well as a social identity-based path. The latter SPC part centrally builds on customer and employee company identification as a core construct. On the basis of a large scale triadic data set that included data from employees, customers and firms, we find strong support for the extended SPC, which accounts for important customer (loyalty and willingness to pay) and firm outcomes (financial performance). Also, the effects of company identification exist incrementally beyond the effects of the conventional SPC path

How to get lost customers back? : a study of antecedents of relationship revival

Most research in the field of customer relationship management has focused on keeping existing customers. However, some companies also systematically address lost customers and try to revive these relationships. This facet of customer relationship management has been largely neglected by academic research. Our study provides a theoretical discussion and an empirical analysis of factors driving the success of relationship revival activities. Drawing on equity theory we find that the customer’s perceived interactional, procedural, and distributive justice with respect to revival activities positively affect his or her revival-specific satisfaction which in turn has a strong impact on revival performance. Furthermore, revival performance depends on customer characteristics (variety seeking, involvement, age), and the overall customer satisfaction with the relationship

Evaluation strategies of American and Thai consumers

ABSTRACT The effects of two factors (congruity of product information with consumer expectations and perceived risk associated with the product) on strategies used by consumers to evaluate products are tested in the United States and Thailand. When product information does not match expectations, consumers in both cultures increase evaluation effort and shift from using summary representations stored in memory to evaluation based on actual product attributes. Perceived risk also enhances evaluation effort in both cultures, but does not result in a similar shift from category-based to attributebased processing

THE CONCISE GUIDE TO PHARMACOLOGY 2021/22: G protein-coupled receptors

The Concise Guide to PHARMACOLOGY 2021/22 is the fifth in this series of biennial publications. The Concise Guide provides concise overviews, mostly in tabular format, of the key properties of nearly 1900 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. Although the Concise Guide constitutes over 500 pages, the material presented is substantially reduced compared to information and links presented on the website. It provides a permanent, citable, point-in-time record that will survive database updates. The full contents of this section can be found at http://onlinelibrary.wiley.com/doi/bph.15538. G protein-coupled receptors are one of the six major pharmacological targets into which the Guide is divided, with the others being: ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. The landscape format of the Concise Guide is designed to facilitate comparison of related targets from material contemporary to mid-2021, and supersedes data presented in the 2019/20, 2017/18, 2015/16 and 2013/14 Concise Guides and previous Guides to Receptors and Channels. It is produced in close conjunction with the Nomenclature and Standards Committee of the International Union of Basic and Clinical Pharmacology (NC-IUPHAR), therefore, providing official IUPHAR classification and nomenclature for human drug targets, where appropriate

A maximum likelihood method for latent class regression involving a censored dependent variable

The standard tobit or censored regression model is typically utilized for regression analysis when the dependent variable is censored. This model is generalized by developing a conditional mixture, maximum likelihood method for latent class censored regression. The proposed method simultaneously estimates separate regression functions and subject membership in K latent classes or groups given a censored dependent variable for a cross-section of subjects. Maximum likelihood estimates are obtained using an EM algorithm. The proposed method is illustrated via a consumer psychology application.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45751/1/11336_2005_Article_BF02294647.pd

THE CONCISE GUIDE TO PHARMACOLOGY 2021/22: G protein-coupled receptors.

The Concise Guide to PHARMACOLOGY 2021/22 is the fifth in this series of biennial publications. The Concise Guide provides concise overviews, mostly in tabular format, of the key properties of nearly 1900 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. Although the Concise Guide constitutes over 500 pages, the material presented is substantially reduced compared to information and links presented on the website. It provides a permanent, citable, point-in-time record that will survive database updates. The full contents of this section can be found at http://onlinelibrary.wiley.com/doi/bph.15538. G protein-coupled receptors are one of the six major pharmacological targets into which the Guide is divided, with the others being: ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. The landscape format of the Concise Guide is designed to facilitate comparison of related targets from material contemporary to mid-2021, and supersedes data presented in the 2019/20, 2017/18, 2015/16 and 2013/14 Concise Guides and previous Guides to Receptors and Channels. It is produced in close conjunction with the Nomenclature and Standards Committee of the International Union of Basic and Clinical Pharmacology (NC-IUPHAR), therefore, providing official IUPHAR classification and nomenclature for human drug targets, where appropriate

The Concise Guide to PHARMACOLOGY 2023/24: G protein-coupled receptors.

peer reviewedThe Concise Guide to PHARMACOLOGY 2023/24 is the sixth in this series of biennial publications. The Concise Guide provides concise overviews, mostly in tabular format, of the key properties of approximately 1800 drug targets, and about 6000 interactions with about 3900 ligands. There is an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (https://www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. Although the Concise Guide constitutes almost 500 pages, the material presented is substantially reduced compared to information and links presented on the website. It provides a permanent, citable, point-in-time record that will survive database updates. The full contents of this section can be found at http://onlinelibrary.wiley.com/doi/bph.16177. G protein-coupled receptors are one of the six major pharmacological targets into which the Guide is divided, with the others being: ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. The landscape format of the Concise Guide is designed to facilitate comparison of related targets from material contemporary to mid-2023, and supersedes data presented in the 2021/22, 2019/20, 2017/18, 2015/16 and 2013/14 Concise Guides and previous Guides to Receptors and Channels. It is produced in close conjunction with the Nomenclature and Standards Committee of the International Union of Basic and Clinical Pharmacology (NC-IUPHAR), therefore, providing official IUPHAR classification and nomenclature for human drug targets, where appropriate

The Moderating Effect of Buying Impulsivity on the Dynamics of Unplanned Purchasing Motivations

Previous studies of in-store decision making have assumed that motivations for unplanned purchases are homogeneous throughout a shopping trip. In response to this assumption, the authors develop a conceptual framework to explain how consumers’ internal (i.e., intrinsic) and external (i.e., extrinsic) motivations for unplanned purchases actually vary during a shopping trip. Two field studies and five online experiments provide evidence that the personality trait of buying impulsivity predicts differences in whether a shopper initially focuses on internal motivations (e.g., “because I love it”) or external motivations (e.g., “because it is on sale”) for unplanned purchases at the beginning of a shopping trip and, consistent with a mechanism of motivation balancing, that motivations for unplanned purchases change as a shopper satisfies their initial motivations. The studies also demonstrate how the level of buying impulsivity influences the effectiveness of point-of-purchase messages at stimulating unplanned purchases and consumers’ relative spending on unplanned purchases. Overall, these findings address conflicting results in previous shopping studies, advance the literature streams on consumer motivation and sequential choice, and contribute insights to enhance shopper-marketing programs

Consumer Behavior

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