Purpose In today’s intense global competition, agility is advocated as a fundamental characteristic for business survival and competitiveness. The purpose of this paper is to propose a practical methodology to achieve and enhance organizational agility based on strategic objectives. Design/methodology/approach In the first step, a set of key performance indicators (KPIs) of the organization being studied are recognized and classified under the perspectives of balanced scorecard (BSC). Critical success factors are then identified by ranking the KPIs according to their importance in achieving organizational strategic objectives using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). In the second step, three houses of quality (HOQs) are constructed sequentially to identify and rank the main agile attributes, agile enablers, and improvement paths. In addition, in order to translate linguistics judgments of practitioners into numerical values in building HOQs, fuzzy logic is employed. Findings The capability of the proposed methodology is demonstrated by applying it to a case of a multi-national food company in Iran. Through the application, the company could find the most suitable improvement paths to improve its organizational agility. Research limitations/implications A limited number of KPIs were chosen due to computational and visual constraints related to HOQs. Another limitation, similar to other agility studies, which facilitate decision making among agility metrics, was that the metrics were more industry-specific and less inclusive. Practical implications A strong practical advantage for the application of the methodology over directly choosing agility metrics without linking them is that through the methodology, the right metrics were selected that match organization’s core values and marketing objectives. While metrics may ostensibly seem unrelated or inappropriate, they actually contributed to the right areas where there were gaps between the current and desired level of agility. It would otherwise be impossible to choose the right metrics without a structured methodology. Originality/value This paper proposes a novel methodology for achieving organizational agility. By utilizing and linking several tools such as BSC, fuzzy TOPSIS, and quality function deployment (QFD), the proposed approach enables organizations to identify the most appropriate agile attributes, agile enablers, and subsequently agile improvement paths.

PurposeIn Iran, the Bank A is one of the largest and most effective banks of the banking network. The continued success of Bank A in improving the economic level of the country and satisfying the customers depends on recognizing all banking activities and processes in the form of supply chain and performing the necessary managerial acts in order to enhance the relevant processes. In this regard, the present study aimed to improve the most effective processes of banking services supply chain of Bank A in Iran.Design/methodology/approachThe present study was applied and descriptive. Research population included the heads, deputies and active experts in Bank A, who were selected through judgmental and saturation sampling methods to complete the questionnaire and participate in interviews and conference sessions. Regarding to aim of study, the integrated approach of intuitionistic fuzzy based DEMATEL-ISM was used.FindingsAccording to the results, the processes of product delivery, information technology management, public relations and advertising management, risk management, and marketing and sales management exerted the most impacts on other processes in the supply chain. Finally, after designing a process improvement path, solutions were presented to improve the most effective processes.Originality/valueIn this research, efforts were dedicated to the recognition of the major processes of the services supply chain of Bank A, designing the process framework of the bank and improving the prioritized processes by evaluating the causal relations that exist among the processes of the services supply chain.

Purpose Development of each domain of knowledge depends on aggregation of knowledge and documentation of available research. This paper aims to review the articles in the field of innovation ecosystem (IE), do a bibliographic analysis of the information available about each document, explain the process of developing the concept of IE in research during the past years and introduce the forerunner countries, major, top journals, main scientific documents and authors contributing so far to the development of the concept of IE. Design/methodology/approach In this study, 1,233 papers published between 1990 and 2021 April were collected and analyzed by applying life-cycle analysis, bibliometrics and content analysis to provide a full thematic overview of the IE filed. Findings Results showed that initial concepts of IE emerged in 1990 and entered its life-cycle growth period in 2006 due to being accepted by researchers. This growth will continue until 2035. Moreover, top 20 countries (i.e. the most influential and productive countries), most frequently cited journals, top publishing authors and the most important topics as considered by researchers are also identified by employing bibliometrics and content analysis. According coincidence of key words, the most important topics in IE field categorized into four groups. Originality/value Unlike other works recruiting content analysis solely to identify theoretical areas within this concept, the present study used content analysis in the field of scientific research methodology, and then the most popular tools to develop the concept of IE were identified.

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PurposeISM technique is one of the tools of interest in soft operations research. The soft nature of this technique has made inevitable use of indeterminacy theories. The present research attempts to develop ISM technique and MICMAC analysis in a neutrosophic space due to the complexity and uncertainty of the decision-making environment.Design/methodology/approachIn this study, single-valued triangular neutrosophic numbers is used to develop Neutrosophic ISM (NISM) and Neutrosophic MICMAC (NMICMAC). First, the general algorithm of NISM and NMICMAC is provided. In the following, the complete description of NISM steps including level value determination, Factor Leveling Algorithm and NISM digraph algorithm are presented. Finally, a description of the NMICMAC steps is described.FindingsAn illustrative example – supplier selection problem – is given to verify the effectiveness of the proposed method and in the discussion section; the comparison and analysis of different aspects of the NISM with the previous methods are discussed.Originality/valueIn this study, NISM and NMICMAC are presented for the first time, so that each pairwise comparison judgment is provided as single valued triangular neutrosophic numbers. The development of the model is continued until the final stages of calculations with neutrosophic numbers, and only in the final stage the results are crispy presented. In addition, not only the factors of process are leveled, but at each level the factors are lined up and their importance is determined.