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One of the major purposes of implementing vocational education is to offer trained manpower to enterprises that meet the immense challenges of the global economic competition and unprecedented technological changes. Selecting an adequate enterprise, from the school's viewpoint, is a critical factor for implementing the vocational education system. This paper suggests applying the ANP approach in order to deal with the interdependence among criteria of different layers of the analysis process to select the suitable partner enterprise where students can gain experience. The paper describes the cooperation patterns between schools and enterprises as well as the criteria which should be considered and the corresponding attributes used to evaluate the potential enterprises.

The purpose of this paper is to investigate the perceptions and satisfaction between police officers and citizens on Kinmen Island (of Taiwan), using an analytical framework that combines five primary dimensions and 25 corresponding determinants.

It considers recent developments in the application of performance measures and management to public and, particularly, police services. It goes on to assess comparative rural police performance which suggests that the application of targets could ultimately serve to provide the overall satisfaction with police services.

The findings of the study suggest that perceptions and satisfaction of both citizens and police staff may result in the success of the policing management, and that police managers have to satisfy their citizens with a high level of service quality based on different localities.

From managerial perspectives, police managers should consider both the service quality and customer satisfaction constructs as determinants of behavioural intentions, based on the fact that satisfaction can be a strategic key to maintain long term relationship with citizens as it is found of significant impact on the intentional behaviour.

This research adds empirical support to this vein of literature and has identified the five main dimensions and the 25 sub-dimensions as important constructs for police service quality.

The purpose of this paper is to establish a mechanism for partner selection via adapting relative weights of criteria according to the priority of motivations for establishing strategic alliance.

The analytic network process (ANP) approach derived from the idea of the Markov chain is employed to deal with this dynamic situation and to establish a partner selection mechanism. With this approach, the priority of motivations and the relative importance of criteria are determined simultaneously.

Although choosing an appropriate partner is an important variable influencing success of alliance, attempts to identify a universal list of criteria and their corresponding relative importance which enterprises should employ when seeking a proper partner would be futile since the objectives of forging alliances vary depending on specific motivations. Based on this iterative review approach proposed in this paper, a proper weight setting for these criteria is available and will comply with the original motivation for establishing the strategic alliance. This is essential for selecting an appropriate partner for establishing an alliance that matches the original motivation.

The limitation of this research is the neglect of the possible inner dependence among criteria and sub‐criteria, although that can be coped with by choosing them properly.

The content of motivations and criteria as well as their priority and weightings may vary with different kinds of alliances or situations. The partner evaluation and selection mechanism proposed in this paper can meet different situations by adapting the relative weights of criteria and attributes according to the relationship between the criteria and motivations for every particular situation, thus enabling decision‐makers to think more comprehensively before conducting a selection process. If the priority of the motivations obtained from the mechanism is consistent with that set initially, the relative weights of these criteria can then be employed to evaluate the candidate partners in the selection mechanism. If it is not, the decision maker should reconsider the weighting process or measure again the relative weights for the criteria before conducting the evaluation and selection processes to avoid selecting an inappropriate partner that runs contrary to the original motivations.

The emphasis is on the interdependence between motivations and criteria for partner selection. This paper systematically deals with the interdependence of these two factors. Based on this iterative review approach proposed in this paper, a proper weight setting for these criteria is available and will comply with the original motivation for establishing the strategic alliance.

Decision makers in the service industry must effectively cope with queuing problems, service capacity optimization, service efficiency and service quality problems. This study proposes a computer simulation‐enabled MCDM framework that integrates computer simulation analysis, Taguchi method, expert opinion and multiple criteria decision making (MCDM) to assist decision makers in coping with decision problems. In this framework, Taguchi method is adopted to reduce the time required for the simulation experiment. Computer simulation analysis is adopted to obtain useful information for rapid decision‐making without interrupting actual production. MCDM is used to select the optimal alternative. The illustrative result is extremely promising.

The purpose of this paper is to examine the recycling business in Taiwan as well as its impacts on the collection, environment, economy, and society, providing a good example of setting up an efficient national paradigm.

This paper proposes an alternative policy of dynamic rate of recycling fee as Taiwan's current recycling system is not beneficial to spurring design for environment (DfE).

The paper demonstrates that this improvement will indeed result in changes for entrepreneurs and manufacturers toward green design and financial benefits for flourishing the recycling industry.

Regardless of the progressive success for the current system in Taiwan, a flat rate recycling fee scheme possesses limited inspiration to promote the concept of DfE. In addition to existing literature, the proposed dynamic recycling fee policy demonstrates the increased level of DfE engagement.

The purpose of this study is to examine the effects of purchasing activities and the purchasing function's involvement with corporate strategy on manufacturing competitiveness as it is affected by national differences. In particular, the authors are interested in the research question: do purchasing theories built on samples from mainly North American and Western European countries apply in other countries with different cultural contexts?

Based on the 511 samples collected from ten countries or two distinct cultural groups (Group 1: Asia; Group 2: Western Europe/USA), the authors tested a purchasing model that is well‐grounded in the literature. Two statistical methods were applied. First, multiple‐group structural equation modeling (SEM) analysis was performed to test the model. The authors then applied regression analysis to examine whether the two country groups differ in their choice and efficacy of purchasing activities and strategic involvement.

The results suggest that the intensity and efficacy of purchasing activities and strategic involvement vary between the two country groups, Asia and Western Europe/USA. The Western Europe/USA samples adequately fit the purchasing model, but the Asian samples do not. At the item level, the study finds a common set of purchasing activities contributing to manufacturing competitiveness regardless of national differences. The findings suggest that national differences matter in implementing purchasing activities.

This study represents a first attempt at using national culture to explain differences in purchasing activities and strategic involvement.

The present study aims to clarify the following two research objectives: (1) the user behavior of government websites during the coronavirus disease (COVID-19) period and (2) how the government improved government's website design during the COVID-19 period.

The authors used website analytics to examine usage patterns and behaviors of the government website via personal computer (PC) and mobile devices during the COVID-19 pandemic. In-depth interviews were conducted to understand the user experience of government website users and to gather users' opinions about how government websites should be redesigned.

With the rising of the COIVID-19 pandemic, most studies expect that the use of government websites through a mobile device will grow astonishingly. The authors uncovered that the COVID-19 pandemic did not increase the use of government websites. Instead, severe declines in website usage were observed for all device users with the declines being more pronounced in mobile device users than in PC users. This is an admonitory caveat that reveals public health and pandemic prevention information announced on government websites cannot be effectively transmitted to the general public through official online platforms.

The study highlights the gap in information behavior and usage patterns between PC and mobile device users when visiting government websites. Although mobile devices brought many new visitors, mobile devices are ineffective in retaining visitors and continuous long-term use. The results of localize experience is helpful in the improvement of government website evaluation worldwide.

Emergency logistics is an important means to deal with disasters and public crises. Since the outbreak of the severe acute respiratory syndrome (SARS) virus in 2003, China has established and developed an emergency logistics management system. With the outbreak of coronavirus disease (COVID-19) in China, its emergency logistics system is facing unfolded challenges. The main purposes of this study are to explore the development of China’s emergency logistics system in this context and identify the critical success factors for such systems. A series of focus groups are organized to collect the opinions of 24 interviewees from three Chinese cities, namely Wuhan, Shanghai, and Xi’an. Through the analysis, a framework of the critical success factors for emergency logistics in China is recreated. The key elements are demand forecasting and planning, inventory management, distribution network, and systematic information management. Findings suggest critical points on the design and imple-mentation of the emergency logistics operations during a chaotic period.

The purpose of this paper is to investigate the influence of two dimensions of relational risks, namely, opportunism behavior and interest conflict, on knowledge flow and to explore the moderating effect of network power among these untested relationships and to examine the positive effect of opportunism behavior and interest conflict.

This paper adopts survey data collected from 180 enterprises in China's high-technology industry and examines the relationship between relational risks, network power and knowledge flow.

This research empirically shows that opportunism behavior and interest conflict significantly and negatively impact on knowledge flow. Those relationships are positively moderated by network power.

To be more generalized to the high-technology industry, future research should adopt the quantitative research, which can obtain more comprehensive information to explore the nature of phenomenon. The future research can also combine with other variables. In addition, this research extends the current literature by investigating the relationship of so far understudied theorized antecedents.

This research enriches the related network perspective literature by providing new insight combining relational risks and knowledge flow. Especially, the moderating effect of network power is empirically examined.

The purpose of this paper is to suggest how firms could use big data to facilitate product innovation processes, by shortening the time to market, improving customers’ product adoption and reducing costs.

The research is based on a two-step approach. First, this research identifies four potential key success factors for organisations to integrate big data in accelerating their product innovation processes. The proposed factors are further examined and developed by conducting interviews with different organisation experts and academic researchers. Then a framework is developed based on the interview outputs. The framework sets out the key success factors involved in leveraging big data to reduce lead times and costs in product innovation processes.

The three determined key success factors are: accelerated innovation process; customer connection; and an ecosystem of innovation. The authors believe that the developed framework based on big data represents a paradigm shift. It can help firms to make new product development dramatically faster and less costly.

The proposed accelerated innovation processes demand a shift in traditional organisational culture and practices. It is, though, meaningful only for products and services with short life cycles. Moreover, the framework has not yet been widely tested.

This paper points to the vital role of big data in helping firms to accelerate product innovation processes. First of all, it allows organisations to launch new products to market as quickly as possible. Second, it helps organisations to determine the weaknesses of the product earlier in the development cycle. Third, it allows functionalities to be added to a product that customers are willing to pay a premium for, while eliminating features they do not want. Last, but not least, it identifies and then prioritises customer needs for specific markets.

The research shows that firms could harvest external knowledge and import ideas across organisational boundaries. An accelerated innovation process based on big data is characterised by a multidimensional process involving intelligence efforts, relentless data collection and flexible working relationships with team members.