Suchergebnisse

Outsourcing strategies reveal trends in strategic business administration. Over the past 80 years, outsourcing has become one of the most important concepts in business management and operation. In Taiwan, optoelectronics, semiconductors, and information technology (IT) are the major industries engaging in engineering manpower outsourcing (EMO) due to their capital intensity and their requirements for a large quantity of high-quality engineers. This study analyzes the EMO competence of Taiwan's enterprises using expert interviews, analytic hierarchy process (AHP) analysis, and a fuzzy logic inference system (FLIS). This study shows that EMO competence can be divided into three influential variables: cost, resources, and strategy. The results of this research indicate that the cost variable has the greatest influence on EMO. The results of fuzzy analysis demonstrate that if enterprises intend to improve their EMO, they must consider the combination of the direct cost and talents sub-variables within the resource variable to be more important than the various sub-variable combinations of cost and strategy. Moreover, empirical results also show that the internal operation (IO) sub-variable has a significant impact on the strategy variable and that the internal training (IT) and external alliance (EA) sub-variables have little influence on the strategy variable with respect to EMO.

Abstract. Nowadays the science and technology progresses not only create the change to have a big impact on various industries, but also stimulate Industry 4.0 being applied in the manufacturing industry to achieve manufacturing efficiency and to reduce its cost to increase additional values. This study uses the Analytical Hierarchical Process (AHP) evaluation method, which considers four criteria layers: Internet of things factors, Automationfactors, Intelligent factors, Big data factors, and twelve influence factors in sub-layer are: perceived layer, network layer, application layer, field layer, management layer, control layer, process control visualization, system supervisory and control omni bearing, green energy manufacturing production, variety, volume, and velocity. Then, the relative risk indicator (RRI) is obtained by the Analytical Hierarchical Process method, and the overall risk indicator (ORI) can be obtained after introducing the evaluation value of each impact factor through the case. The research results confirm that the risk assessment values obtained the hierarchical analysis method are consistent. This research through the Analytic Hierarchy Process, then discusses Industry 4.0 pair of Taiwan's precision machinery industry management pattern institute emphatically face with target, expected will provide the existing machine manufacture industry as well as the future wants to invest the precision machine industry the management policy-maker reference value, also might take the government policy consideration factors and the machine manufacture industry scholars study the academic for reference.Keywords. Industry 4.0, Precision machine industry, Analytic Hierarchy Process.JEL. L22, M11, O14.

In the era of globalization, cross-cultural issues have been widely discussed. However, research concerning cultural barriers expatriates face in foreign subsidiaries are relatively rare. Hence, the aim of this study is to investigate and prioritize barriers that expatriates encounter during cross-cultural interactions. This study integrates a review of the literatures and experts' experiences to construct an analytic hierarchy process (AHP) model. AHP questionnaires were distributed to multinational corporations (MNCs) and were analyzed using Expert Choice software. This study finds that national culture bonded barriers are the most critical factors that hinder expatriates' cross-cultural interactions with the host country. In addition, the sub-factors of ethnocentrism, headquarter strategy and cross-cultural communication are the most important factors within the categories of national culture bonded barriers, organizational barriers and individual rooted barriers, respectively. Finally, this study concludes that because cultural barriers are the main factors causing the failures of expatriates, it is crucial for MNCs to provide their employees with cross-cultural trainings that prepare expatriates' language and cultural abilities for cross-cultural interactions with the host country and non-work social networks to facilitate the cross-cultural adjustment in MNCs.

Purpose – The tourism industry service network (TISN) is considered to be one of the largest components of tourism in the modern Vietnamese economy. The Vietnam National Administration of Tourism (VNAT) is currently developing a long-term plan to diversify the country's tourism industry and to improve the destination image of Vietnam. To successfully implement this plan, the Vietnamese tourism industry must employ effective promotional strategies. Design – This study designs to determine the necessity of measuring the effectiveness of the promotional activities of tourist destinations and to decide upon a promotional strategy that appropriately parallels the desired destination attributes and destination image. Methodology – This study proposes to address tourism promotional efficiency using the analytical hierarchy process (AHP) methodology, a decision-making method based on pairwise comparisons between criteria, and constructs an evaluation structure with criteria-associated weights for factor selection. Approach – In accordance with AHP design, this study selects participants who had been in charge of or served in the Vietnamese tourism industry for a number of years. Findings – This study finds that "government policy", "service staff" and "tourist satisfaction" are the three most important factors impacting tourism promotional effectiveness. Surprisingly, "tourist loyalty" and "tourism infrastructure" are considered to be the least important factors affecting tourism promotional efficiency. Originality of the research – This study provides valuable information and knowledge of tourism promotional effectiveness to be fully shared and passed on in the tourism industry, resulting in a corporate cultural atmosphere that creates the innovative impetus of destination attributes and images.

Purpose– The purpose of this paper is to help interfirm-collaborating cluster (ICC) executives examine the relevance of alternative decision rules in practical business contexts. Multi-party-implemented strategies and establishing multi-lateral collaborations are necessary actions for achieving success in new product development by small and medium enterprises (SMEs). This study explores interfirm decision-making heuristics relating to industrial ICCs.Design/methodology/approach– The study examines the relevancy to decision making in ICCs of heurstics such as "fast-and-frugal decision trees" (FFDTs) and "take-the-best" (TTB) to processing possibly influential decision-making cues. The study also examines simple heuristics versus the value of a "fully rational" approach to making decisions – calculating cue values, importance weights, multiplying values by weights, summing and selecting the option having the highest summed score. This study included interviewing executives of the pivotal firm in an ICC.Findings– This study reveals a decision-making solution for shortening the time and processes required in seeking new business collaboration partners in an ICC. This study not only develops a FFDT for six decision-making modules to quickly identify potential collaboration partners, but it also constructs a decision systems analysis (DSA) flowchart to effectively shorten the decision-making process.Research limitations/implications– This study is in accordance with the general type of industrial interfirm collaboration in Taiwan. The industrial interfirm collaboration could be further divided into the types of formal, semi-formal and informal industrial interfirm collaborations.Practical implications– This study argues that firms usually find it difficult to develop their own technology because of the high costs of research and development for SMEs. Therefore, firms need to collaborate with partners to maintain their competitive advantage. However, to collaborate, firms must learn to trust their collaboration partners, and the degree of collaboration also strongly depends on the degree to which they trust their collaboration partners.Originality/value– This study provides the efficient models of FFDT and DSA to quickly identify potential collaboration partners and to effectively shorten decision-making processes.