Investigating Research Streams of Conjoint Analysis: A Bibliometric Study

Teichert, Thorsten; Shehu, Edlira

doi:10.1007/bf03342715

Cited by 25 publications

(23 citation statements)

References 78 publications

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Mentioning

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“…Citation networks generally exist in three different forms: journal citation, author citation, and document citation. Our focus on the citation network at the level of single publications [Teichert and Shehu, 2010] rather than on the aggregated journal or author level was so we could gauge the importance of single publications in the field, based on our careful selection of a sufficiently large sample (cf. Pilkington and Fitzgerald, 2006;Pilkington and Meredith, 2009).…”

Section: An Extensive Analysis Of Ea Research Figure 1 Number Omentioning

confidence: 99%

“…This comprehensive picture of the entire research field is analyzed with regard to the network positions of respective authors and publications as well as to content and principal themes. Unlike in past reviews, our primary tool for exploring the state of the art is bibliometric analysis-an established tool for the structural analysis of a given research field [Culnan, 1986;Teichert and Shehu, 2010]. This allows us both to substantiate findings that have thus far been rather hypothetical (e.g., the central role of frameworks) and to produce novel insights into EA research and its interconnections.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Exploration of Enterprise Architecture Research

Simon

Fischbach²,

Schoder

2013

CAIS

102

112

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Management of the enterprise architecture has become increasingly recognized as a crucial part of both business and IT management. Still, a common understanding and methodological consistency seems far from being developed. Acknowledging the significant role of research in moving the development process along, this article employs different bibliometric methods, complemented by an extensive qualitative interpretation of the research field, to provide a unique overview of the enterprise architecture literature. After answering our research questions about the collaboration via co-authorships, the intellectual structure of the research field and its most influential works, and the principal themes of research, we propose an agenda for future research based on the findings from the above analyses and their comparison to empirical insights from the literature. In particular, our study finds a considerable degree of co-authorship clustering and a positive impact of the extent of co-authorship on the diffusion of works on enterprise architecture. In addition, this article identifies three major research streams and shows that research to date has revolved around specific themes, while some of high practical relevance receive minor attention. Hence, the contribution of our study is manifold and offers support for researchers and practitioners alike.

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Section: An Extensive Analysis Of Ea Research Figure 1 Number Omentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Exploration of Enterprise Architecture Research

Simon

Fischbach²,

Schoder

2013

CAIS

102

112

View full text Add to dashboard Cite

show abstract

“…The method has been used for decades in preference estimation, primarily in marketing research [22]. Today, it also is increasingly used in a number of other areas, including health care, food studies, and transportation [63]. Initially, conjoint analysis originated from decision problems that sought to produce reliable assessments of the respondents' preferences by comparing at least two features simultaneously, so that the respondent has to identify, evaluate, and decide on a trade-off between the two features.…”

Section: Discussionmentioning

confidence: 99%

What Influences Choice of Business-to-Business Connectivity Platforms?

Penttinen¹,

Halme²,

Lyytinen³

et al. 2018

International Journal of Electronic Commerce

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Business-to-Business platforms provide connectivity and data exchange services and compete in several dedicated services, such as electronic invoicing (einvoicing). Thus far, little research has examined the factors that influence firms' choice among competing platforms: Which platform features matter, and in what proportion in the decision maker's choice? To address this gap, we conduct an empirical study and triangulate with past theoretical explanations that have sought to account for the firm's choice. Based on the analysis, we formulate a platform selection model that includes nine features: (1) reach, (2) total cost, (3) usability, (4) ease of system integration, (5) implementation capability, (6) platform support for service improvement, (7) service customization, (8) platform reputation, and (9) long-term sustainability. We apply conjoint analysis using firms' selection data, collected from 282 firms that have recently made a purchase decision among e-invoicing platforms. All features except the vendor's implementation capability are found to significantly influence the platform choice. Two features-usability and reach-dominate the choice and account for nearly 50 percent of the likely outcome. We use cluster analysis to examine the effect of firm size on firms' preferences in platform features. As hypothesized, larger companies prefer interoperability, scale, and network effects, while smaller companies value local use efficiency and ease of use because they are more concerned with usability and cost. Our theoretical and managerial claims concerning platform choice highlight the difficulty of bootstrapping, the role of pricing and cost, the minor importance of implementation-related features, and the impact of longevity during platform contracting.

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“…This is e.g. the leading premise of the most widely applied market research method: conjoint analysis [30]. Consequently, we only utilize consumers' perceptions when assessing new fast food offerings.…”

Section: Methodological Conceptmentioning

confidence: 99%

Predicting Brand Perception for Fast Food Market Entry

Teichert¹,

Effertz²,

Tsoi³

et al. 2015

TEL

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We present a combined and integrative market research approach to address common, but potentially neglected problems resulting from consumers' perceptions towards food brands. Our findings provide improved response measures and guidance for market entry strategies of established and novel food brands. Two knowledge sources and methods are combined to derive a model of brand perception: experts' opinions are elicited using the Analytic Hierarchy Process (AHP) to generate an overall causal effects framework for food brands. Complementary hereto, a survey of potential consumers retrieves consumers' perceptions regarding market entry scenarios of different food brands. A remote metropolitan area (Novosibirsk) was chosen as quasi-laboratory setting to simulate the market introduction of alternative fast food brands. Insights are gained about the interdependence of branding and advertisement effects. As expected, consumers' attitudes towards the brand and towards the ad are the key success factors for any type of brand. Different responses depend on consumers' expectations towards novel or established brands. Otherwise, the paper provides a proof of concept to integrate AHP and experts' assessments with consumer surveys. Findings indicate a large potential to join external and internal perspectives for obtaining more valid market assessments before the real market entry. Managers might need to enhance their model of assessed consumer perceptions with expert opinion before entering a market in order to align their advertising accordingly. Global and local brands face distinctively different market entry barriers. Novel global brands constitute a promising alternative for a food company wishing to enter a new market. Managers need to decide whether a combined specific approach is necessary and eventually incorporate it in case of new foods brands. A novel method is introduced to assess market perceptions of food brands before the latter actually enter the market. A combined approach incorporates expert opinions to enhance incomplete consumer information. Findings indicate strong interaction effects between brand and advertisement related factors which in turn strongly influence consumers' perceptions.

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Investigating Research Streams of Conjoint Analysis: A Bibliometric Study

Cited by 25 publications

References 78 publications

An Exploration of Enterprise Architecture Research

An Exploration of Enterprise Architecture Research

What Influences Choice of Business-to-Business Connectivity Platforms?

Predicting Brand Perception for Fast Food Market Entry

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