Conjoint analysis: the assumptions, applications, concerns, remedies and future research direction

K. Kulshreshtha, G. Sharma, N. Bajpai
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引用次数: 1

Abstract

PurposeSince the inception of the conjoint analysis technique in the year 1971, papers addressing the epistemological aspects of conjoint analysis are scant. Hence, this paper attempts to address the vacuum of qualitative discourse addressing the epistemological and methodological aspects of conjoint analysis including different issues, challenges, probable solutions, limitations and future direction of conjoint analysis in the recent decade.Design/methodology/approachFor exploring the methodological and epistemological aspects of conjoint analysis, the seminal papers on conjoint analysis were reviewed. Moreover, the authors' experience for the state-of-art review was also taken into consideration.FindingsThe findings suggest that conjoint analysis that roots back since 1971 has not seen much exploration in Asian regions and is mainly used for new product development in the field of marketing or allied areas. Moreover, the reliability and validity of conjoint analysis is always a matter of concern for the researchers that hinders this technique's wider adaptability. Thus, the paper presents some probable solutions to address the focal issues useful for improved reliability and validity of the conjoint analysis technique.Research limitations/implicationsThis paper attempts to familiarize the researchers with epistemological and methodological aspects of conjoint analysis with certain solutions to evolve beyond existing conjoint analysis dimensions in terms of improved validity, reliability, epistemological and methodological aspects of conjoint analysis (CA). Moreover, it acts as a call for research in different research domains, especially in the Asian continent.Originality/valueThere exist certain seminal research papers on epistemological aspects of conjoint analysis. However, there is a dearth of such attempt in the recent decade addressing the application issues of conjoint analysis incorporating the recent issues as well. Therefore, this paper is an attempt to usher the future researcher to understand the methodological aspects of conjoint analysis. It may prevent them from violating the basic assumptions and methodological threshold. This research technique is preferred equally by academicians and practitioners, thus making it imperative to have clarity beforehand for improved research rigor.
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联合分析:假设、应用、关注、补救和未来研究方向
目的自1971年联合分析技术问世以来,关于联合分析的认识论方面的论文很少。因此,本文试图解决定性话语的真空,涉及联合分析的认识论和方法论方面,包括近十年来联合分析的不同问题、挑战、可能的解决方案、局限性和未来方向。设计/方法论/方法为了探索联合分析的方法论和认识论方面,回顾了关于联合分析的开创性论文。此外,还考虑了作者在最新审查方面的经验。研究结果表明,自1971年以来,联合分析在亚洲地区没有进行太多探索,主要用于营销或相关领域的新产品开发。此外,联合分析的可靠性和有效性一直是研究人员关注的问题,这阻碍了该技术的广泛适应性。因此,本文提出了一些可能的解决方案,以解决有助于提高联合分析技术的可靠性和有效性的焦点问题。研究局限性/含义本文试图让研究人员熟悉联合分析的认识论和方法论方面,并提出某些解决方案,以在提高联合分析(CA)的有效性、可靠性、认知论和方法学方面超越现有的联合分析维度。此外,它呼吁在不同的研究领域进行研究,特别是在亚洲大陆。原创性/价值关于联合分析的认识论方面,存在一些具有开创性的研究论文。然而,在最近十年中,很少有这样的尝试来解决结合最近问题的联合分析的应用问题。因此,本文试图引导未来的研究者了解联合分析的方法论方面。它可以防止它们违反基本假设和方法阈值。这种研究技术同样受到学者和从业者的青睐,因此必须事先明确,以提高研究的严谨性。
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来源期刊
CiteScore
5.60
自引率
12.00%
发文量
53
期刊介绍: In today''s competitive business and industrial environment, it is essential to have an academic journal offering the most current theoretical knowledge on quality and reliability to ensure that top management is fully conversant with new thinking, techniques and developments in the field. The International Journal of Quality & Reliability Management (IJQRM) deals with all aspects of business improvements and with all aspects of manufacturing and services, from the training of (senior) managers, to innovations in organising and processing to raise standards of product and service quality. It is this unique blend of theoretical knowledge and managerial relevance that makes IJQRM a valuable resource for managers striving for higher standards.Coverage includes: -Reliability, availability & maintenance -Gauging, calibration & measurement -Life cycle costing & sustainability -Reliability Management of Systems -Service Quality -Green Marketing -Product liability -Product testing techniques & systems -Quality function deployment -Reliability & quality education & training -Productivity improvement -Performance improvement -(Regulatory) standards for quality & Quality Awards -Statistical process control -System modelling -Teamwork -Quality data & datamining
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