Product attributes and benefits: integrated framework and research agenda

Hitesh Kalro, M. Joshipura
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Abstract

PurposeThis study aims to examine current dynamics, consolidates knowledge, elicits trends, identifies and analyses primary research streams and suggests future research on product attributes and benefits and consumer behavior.Design/methodology/approachSequential bibliometric (447 documents) and content analysis (34 documents) methods are used to analyze Scopus bibliographic data. Content analysis helps identify research streams and future research directions, while bibliometric analysis aids descriptive analysis and science mapping.FindingsThe study shows publication trends, top authors, documents, institutions and field knowledge structures. The thematic map and bibliographic coupling reveal six main themes and three major clusters. Consumer motivation, external factors and internal factors are the main clusters. The study concludes with research directions and an integrated framework showing major cluster interactions.Practical implicationsThe study summarizes key primary streams and identifies literature gaps to help scholars and marketers understand how product benefits and attributes influence consumer behavior. Online decision aids (ODA), neuroscience data collection and consumer behavior models in developing countries may be studied in the future.Originality/valueThe first hybrid review of quality articles published over two decades on product attributes and benefits synthesizes the field's research. The study is unique because it identifies and analyses research streams, develops an integrative framework to reveal interlinkages across streams and suggests future research directions.
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产品属性和效益:集成框架和研究议程
本研究旨在检视当前动态,整合知识,引出趋势,识别和分析主要研究流,并建议未来对产品属性和利益与消费者行为的研究。设计/方法/方法采用顺序文献计量学(447篇文献)和内容分析法(34篇文献)对Scopus书目数据进行分析。内容分析有助于确定研究流和未来的研究方向,而文献计量分析有助于描述性分析和科学制图。该研究显示了出版趋势、顶级作者、文献、机构和领域知识结构。专题图和书目耦合揭示了六个主要主题和三个主要集群。消费者动机,外部因素和内部因素是主要的集群。最后提出了研究方向,并给出了集群间主要相互作用的整体框架。本研究总结了关键的主要流,并确定了文献空白,以帮助学者和营销人员了解产品的好处和属性是如何影响消费者行为的。在线决策辅助(ODA)、神经科学数据收集和发展中国家的消费者行为模型可能在未来进行研究。原创性/价值这是对20多年来发表的关于产品属性和效益的高质量文章的首次混合评论,综合了该领域的研究。这项研究的独特之处在于它识别和分析了研究流,开发了一个综合框架来揭示研究流之间的相互联系,并提出了未来的研究方向。
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