Suchergebnisse

This study evaluated the organizational identity perceptions of teachers in teacher departments. Based on a literaturereview, this research regards organizational identity as being composed of mind identity, behavior identity, and visualidentity. Fieldwork was conducted, and 180 students in teacher departments were asked to participate in the study.After valid questionnaires were received, SPSS 22.0 was used for analysis. Importance and performance analysis(IPA) is a strategic tool that was used in this study to capture staff requirements for achieving high satisfaction andallocating resources in teacher departments. There were eight, eight, two, and two attributes in Quadrants I, II, III,and IV, respectively. The results of this study could be useful for policymakers and scholars. Policymakers couldlearn from the IPA results and the prioritized variables, and researchers could gain a better understanding of theorganizational identity of universities.

<p>This paper addresses the construction of marketing mix strategies within the Taiwanese higher education sector and the applicability of such strategies to measure the satisfaction levels of Asian international students. Due to a declining birth rate in Asia as well as an oversupply of schools, recruitting international students is an effective tactic for higher education managers in Taiwan. To pool a representative sample of the population, international subjects were drawn from all higher education institutions in Taiwan. For this research, the author collected 328 valid questionnaires. Descriptive statistics indicated that the seven-factor model was of good fit and included attributes of product, place, price, promotion, people, reputation, and physical evidence. The results from the study highlighted the applicability of the importance-performance analysis (hereafter IPA) for managers attempting to improve their marketing mix strategies and resources from appropriate marketing sectors.</p>

Data envelopment analysis (DEA) is a nonparametric technique for determining the efficiency of a homogeneous set of decision-making units (DMUs). There are two common problems with traditional DEA. First, traditional DEA fails to adequately distinguish the efficiency DMUs. Second, the DMUs within the same industry are non-homogeneous. This study aims to develop a system-ranking-efficiency model to solve the problems of non-homogeneity and efficiency ranking for DMUs in the same group. The proposed system-rankingefficiency model is based on the concept of boundary change and considers the efficiency DMUs with the greatest influence on the boundary as the most important and, thus, as the ones that should have the highest efficiency ranking. The model is applied in the Taiwan securities industry, in which it was found to successfully rank all the DMUs.

AbstractSustainable development is the primary goal of the current global economic transformation. The banking industry, as an intermediary institution within the financial system, not only serves as a crucial foundation for national economic development but also plays a key role in the global transition to sustainability and a low‐carbon economy. Banks can leverage the influence of financing to direct funds towards sustainable ventures and simultaneously develop green financial products, guiding ordinary consumers to make more environmentally friendly choices. How the banking industry can effectively improve operational efficiency while considering sustainable development is one of the key focuses of ongoing development in the banking sector. The main aim of this study is to incorporate the aspect of sustainable development into the evaluation of operational efficiency, aligning with the goals of corporate sustainable development. It allows for an analysis of how decision‐makers in the banking industry can adjust resources to maintain stable and sustainable profitability while promoting sustainable development. This study selected 13 financial holding banks and 19 non‐financial holding banks in Taiwan as research subjects, covering the period from 2016 to 2021. Utilizing a meta assurance regions (AR) parallel dynamic two‐stage slacks‐based measure model with "operational stage" and "market and sustainability parallel stage," the research explores the efficiency performance of banks considering sustainable development. It examines the differences in efficiency performance at various stages among different types of banks. The research findings are as follows: (1) among the banking industry in Taiwan, operational stage efficiency ranks the highest, followed by sustainable stage efficiency, while market stage performance lags behind. (2) Financial holding banks outperform non‐financial holding banks on average in operational stage, market stage, and sustainable stage efficiency. (3) Fubon Financial, TFH, CATHAY HOLDINGS, and SKFH are benchmark performers among financial holding banks. (4) Non‐financial holding banks exhibit a higher average technical gap ratio compared to financial holding banks, indicating that non‐financial holding banks have fewer inefficient areas to improve. However, the technical efficiency of both groups of banks approaches each other over the years. (5) In the sustainable stage, financial holding banks demonstrate superior environmental indicators and corporate treatment efficiency compared to non‐financial holding banks.