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However, when confronted by the range of e\u2010BPM best practices (e\u2010BPM<jats:sup>BP<\/jats:sup>s), organizations struggle to identify the one most appropriate to their needs. The paper aims to address these issues.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>The paper proposes a novel fuzzy group multi\u2010objective method for e\u2010BPM<jats:sup>BP<\/jats:sup> evaluation and selection. First, a fuzzy group linear assignment method is used to rank the e\u2010BPM<jats:sup>BP<\/jats:sup>s drawing on the four perspectives of a balanced scorecard (BSC). Second, a fuzzy group real options approach is used to estimate the financial values of the ranked e\u2010BPM<jats:sup>BP<\/jats:sup>s. Third, a four\u2010objective assignment model is used to select the optimal e\u2010BPM<jats:sup>BP<\/jats:sup> in deferral time with respect to their rankings, financial values, and a series of pertinent constraints.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The contribution of the proposed method is threefold: it is grounded in the four perspectives of a BSC, it considers imprecise or vague judgments which lead to ambiguity in the decision process, and it uses a meaningful and robust multi\u2010objective model to aggregate both qualitative judgments and quantitative data. A case study is presented to demonstrate the applicability of the proposed framework and to exhibit the efficacy of the procedures and algorithms.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>The novel fuzzy group multi\u2010objective framework for e\u2010BPM<jats:sup>BP<\/jats:sup> evaluation and selection proposed in the paper takes into consideration (1) the qualitative and quantitative criteria and their respective value judgments; (2) the verbal expressions and linguistic variables for qualitative judgments which lead to ambiguity in the decision process; and (3) imprecise or vague judgments.<\/jats:p><\/jats:sec>","DOI":"10.1108\/14637151111105625","type":"journal-article","created":{"date-parts":[[2011,1,29]],"date-time":"2011-01-29T07:06:16Z","timestamp":1296284776000},"page":"147-178","source":"Crossref","is-referenced-by-count":5,"title":["A fuzzy multi\u2010objective balanced scorecard approach for selecting an optimal electronic business process management best practice (e\u2010BPM<sup>BP<\/sup>)"],"prefix":"10.1108","volume":"17","author":[{"given":"Faramak","family":"Zandi","sequence":"first","affiliation":[]},{"given":"Madjid","family":"Tavana","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022031420211265000_b1","doi-asserted-by":"crossref","unstructured":"Al\u2010Mashari, M. and Zairi, M. 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