The Influential Factors of Taiwan SMEs’ Clustering Keystone Business Strategy—The Perspective of Business Ecosystem Using FAHP

Abstract

Small and medium enterprises (SMEs) are usually lacking in resources and technical capabilities. Clusters are considered to be a common development pattern to promote resource sharing and information exchange among SMEs. The business ecosystem provides a new perspective for contemporary companies. Through the symbiosis and evolution of the biomimetic system, companies can pursue their own interests on the platform and, at the same time, promote the growth of the overall ecosystem. This study used manufacturing and service Taiwan SMEs as the sample population, and utilized FAHP (Fuzzy Analytic Hierarchy Process) and survey questionnaire methods to explore both the factors that influence the analysis and comparison of the keystone business strategy between manufacturing and service industries and the reasons behind it.

Evaluating a Business Ecosystem of Open Data Services Using the Fuzzy DEMATEL-AHP Approach

“…Saaty [35] introduced AHP to analyze the decisions regarding complex and multiple evaluation criteria under uncertainty and ensure consistency in chaotic decision-making processes. AHP can determine each criterion's weight and execution priority by creating a pairwise comparison matrix and comparing each criterion with its lower-layer criteria sequentially (specifically, it compares and identifies the degree of influence between different layers) [13]. However, traditional AHP suffers from fuzziness.…”

“…Subsequently, FAHP has been employed in numerous studies. Using AHP combined with the fuzzy theory, Chen, Wu, Chen, and Huang [13] argued that the maintenance personnel of factories could develop an optimal maintenance strategy for each component of specific equipment. Using fuzzy Delphi combined with FAHP, Chauhan, et al [37] examined technology-driven enablers of supply chain responsiveness in an uncertain and FAHP can simplify complex evaluation criteria and determine their weights through a clear hierarchical structure.…”

“…By defining fuzzy linguistic variables, experts can make pairwise comparisons and score different criteria, thus reflecting the implied meaning of linguistic variables and measuring the degrees of influence among the criteria. Table 2 describes the triangular fuzzy number of the FAHP-based linguistic variable scale [13].…”

“…Both governments and enterprises need an evaluation framework to evaluate themselves and further examine the operations and status of the business ecosystems of open data. However, most existing open data evaluation models focus on data supply and quality, making it difficult to evaluate the operations of business ecosystems constantly [13]. Existing studies have not yet comprehensively evaluated the open data service industry from a business ecosystem perspective.…”

“…Information technology allows industries to involve an increased number of stakeholders [13]. As a result, much time is spent on data collection, which may lead to a gap in information and cause inaccuracies in the integration processes.…”