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1 – 10 of over 5000V. Kumar, Nita Umashankar and Insu Park
Retail marketing is in the midst of an evolution. The paradigm is shifting from a product-centric to a consumer-centric focus, with a particular emphasis on understanding how…
Abstract
Retail marketing is in the midst of an evolution. The paradigm is shifting from a product-centric to a consumer-centric focus, with a particular emphasis on understanding how consumers transition from harboring an interest in a product to actually purchasing that product. In response, shopper marketing, and in-store marketing (ISM) in particular, have emerged as important mechanisms to influence shopper behavior in brick & mortar and online retail environments. The academic literature is replete with work on what factors of ISM influence shopper behavior. In this chapter, we categorize prominent streams of findings on ISM into firm, customer, competitor and product characteristics of ISM and examine how the notion of a “store” is evolving from bricks to clicks – namely from physical formats to online shopping experiences. Insights from this chapter will help retailers and store managers identify what their customers respond to within a physical store, how technology is changing the way they can capture information on customers, and how shopper behavior is evolving in response to brick & mortar and online retail environments.
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Over the past 25 years as a marketing academic, I have been fortunate to have collaborated with various researchers and firms and have contributed to the advancement of the…
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Over the past 25 years as a marketing academic, I have been fortunate to have collaborated with various researchers and firms and have contributed to the advancement of the marketing field. This is a review article that tracks my progress through these years that has led me to explore different areas of marketing, thereby shaping me as a researcher and an academic. As I see now, all of my research work can be viewed from a decision-making point of view – decisions that marketers can make either at the market, brand/firm/store, or the customer level. These decisions have in turn been transformed into strategies or tactics leading up to successful implementations and improved bottom-line results. The development of strategies/tactics and successful implementations can be seen in nearly 10 areas of research that I have involved myself in. This article also highlights how my research studies have contributed and advanced the creation of knowledge in each of these research areas.
Wen-Chuan Chang, Li-Hui Chang and Shih-Shuo Yeh
Literature reveals that a positive store environment is likely to be a driver to enhance buying experiences and stimulate customers purchase decision. This study further…
Abstract
Literature reveals that a positive store environment is likely to be a driver to enhance buying experiences and stimulate customers purchase decision. This study further investigates the perception of restaurant environment. A field survey is conducted in the Chiayi City, Taiwan by collecting 398 usable samples. The questionnaire is based on past studies of store environment attributes, therefore, considers ambient, design, and social factors. The study finds that a high correlation exists between ambient factor and design factor. It suggests that they could be viewed as a conjunctive dimension. Furthermore, one result indicates that primary and secondary emotions create different levels of impact on planned behaviors.
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Chyi Jaw, James Po-Hsun Hsiao, Tzung-Cheng (T. C.) Huan and Arch G. Woodside
This chapter describes and tests the principles of configural theory in the context of hospitality frontline service employees’ happiness-at-work and managers’ assessments of…
Abstract
ABSTRACT
This chapter describes and tests the principles of configural theory in the context of hospitality frontline service employees’ happiness-at-work and managers’ assessments of these employees’ quality of work performances. The study proposes and tests empirically a configural asymmetric theory of the antecedents to hospitality employee happiness-at-work and managers’ assessments of employees’ quality of work performance. The findings confirm and go beyond prior statistical findings of small-to-medium effect sizes of happiness-performance relationships. The method includes matching cases of data from surveys of employees (n = 247) and surveys completed by their managers (n = 43) and uses qualitative comparative analysis via the software program fsQCA.com. The findings support the four principles of configural analysis and theory construction: recognize equifinality of different solutions for the same outcome; test for asymmetric solutions; test for causal asymmetric outcomes for very high versus very low happiness and work performance; and embrace complexity. The theory and findings confirm that configural theory and research resolves perplexing happiness–performance conundrums. The study provides algorithms involving employees’ demographic characteristics and their assessments of work facet-specifics which are useful for explaining very high happiness-at-work and high quality-of-work performance (as assessed by managers) – as well as algorithms explaining very low happiness and very low quality-of-work performance.
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Endang Ruswanti, Nia Puspita Hapsari and Moehammad Unggul Januarko
Retail or entrepreneurial shops support economic growth, conducting studies in this area is needed. Our study examines whether the buyers have moral intensity, religious beliefs…
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Retail or entrepreneurial shops support economic growth, conducting studies in this area is needed. Our study examines whether the buyers have moral intensity, religious beliefs, and self-concept affect purchase ethics. Using quantitative analysis, we employ 150 respondents, consisting of 94 women and 56 men; the analysis tool used is the structure equation modeling model. The results showed that moral intensity influences religiosity. Moral intensity does not affect self-concept, but religiosity stimulates self-concept, and self-concept impacts purchasing ethics. The limitations of this study have not tested the ethical attitudes of retailers, and respondents are very limited.
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Besides having an important place in the daily lives of today’s consumers, technology impacts consumer behavior in variety of ways such as giving direction to their buying…
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Besides having an important place in the daily lives of today’s consumers, technology impacts consumer behavior in variety of ways such as giving direction to their buying behavior, changing the characteristics that they expect from a product and the value they perceive, and influencing their satisfaction about the product. When omnichannel marketing is analyzed in this respect, it is an important issue that should be considered for the success of the marketing activities of the enterprises. This chapter will explain the single channel first and then multichannel marketing and omnichannel marketing concepts. The potential effects of omnichannel usage on issues about consumer behavior such as brand loyalty, customer satisfaction, perceived brand value, and buying behavior will be explained in detail. Then, the characteristics of the consumers using omnichannel and the factors affecting the success of these continents in terms of both consumers and businesses will be discussed. In this chapter, omnichannel marketing application examples will also be discussed in detail.
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Christopher S. Henry and Tamás Ilyés
For central banks who study the use of cash, acceptance of card payments is an important factor. Surveys to measure levels of card acceptance and the costs of payments can be…
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For central banks who study the use of cash, acceptance of card payments is an important factor. Surveys to measure levels of card acceptance and the costs of payments can be complicated and expensive. In this paper, we exploit a novel data set from Hungary to see the effect of stratified random sampling on estimates of payment card acceptance and usage. Using the Online Cashier Registry, a database linking the universe of merchant cash registers in Hungary, we create merchant and transaction level data sets. We compare county (geographic), industry and store size stratifications to simulate the usual stratification criteria for merchant surveys and see the effect on estimates of card acceptance for different sample sizes. Further, we estimate logistic regression models of card acceptance/usage to see how stratification biases estimates of key determinants of card acceptance/usage.
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