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The shipper selects a suitable shipping route and plans for a voyage in order to import and export cargo on the basis of published sailing schedules. The reliability of the sailing schedule will influence the shipper’s logistics expense, which means that the logistics costs will depend on the reliability of schedules published by container shipping companies. Therefore, it is important to consider factors which can cause delays would for container ships sailing on sea routes. The reliability of published sailing schedules can be affected by a number of different factors. This study adopts the multi-criteria decision making (MCDM) method to estimate the importance of the delaying factors in a sailing schedule. In addition, the consistent fuzzy preference relations (CFPR) method is applied to identify the subjective importance (weights) of the delaying factors. The entropy weight method combined with the actual performance of the container shipping company are both used when estimating the objective importance (weights) of the delaying factors. According to the analysis results, the criteria can be divided into four quadrants with different management implications, which indicate that instructions for chase strategy, sailing schedule control, fleet allocation, transship operation arrangement and planning for ports in routes are often ignored by container shipping companies. Container shipping companies should consider adjusting their operational strategies, which would greatly improve their operational performance.

The purpose of this paper is to examine the influence of partnership (i.e. partner's trust and commitment) on electronic commerce strategic planning (ECSP), and the strategic benefits of expanding partnership. Beyond this research objective, this paper attempts to draw conclusions on the benefits of seeing such trust and commitment as common sense.

A total of 166 Chief information officers were selected from the top 1000 largest firms in Taiwan to test the relations within the research model. Moreover, the structural equation modeling technique was used to evaluate the research model.

Partner trust significantly influences electronic commerce strategic planning. The results also indicate that the success of ECSP enables firms to achieve the strategic benefits of electronic commerce.

This study demonstrates the need to separate the partner's trust and commitment from the environmental context when discussing certain questions related to environmental issues. Future ECSP studies could seek an enhanced understanding of the effects on investigations of other attributes of partnership.

Top managers and information system executives who are considering the process of ECSP must know that the first step is to acquire the partner's trust. And then, they need to make a commitment to their partners in order to gain the strategic benefits. The skills and actions to achieve these steps should become common sense for these executives.

This paper contributes to ECSP research by clarifying the effects of both partner trust and partner commitment on the ECSP, and provides a valuable reference for EC strategic planners, as well as researchers interested in EC strategic planning and management.

ARCH models can be used to predict volatility and to enhance option pricing methodologies. A guide to these models is provided and illustrative results are presented for the prices of Shell stock traded in London.

The purpose of this paper is to examine the effects that reference prices and associated information sources (websites that consumers use to explore and their friends who have similar perspectives on value) have on deal evaluation and intention to disseminate electronic word of mouth (eWOM).

A stratified survey is conducted to empirically test the relations between reference prices, associated information sources (the top five Consumer-to-consumer (C2C) websites and top five Facebook friends with similar perspectives and values on consumption), deal evaluation, and eWOM intention. The study uses a Facebook API to help participants pick five Facebook friends to act as their favorite sources for advice on shopping.

The results suggest that consumers’ deal evaluations (as shaped by the recency effects of previous exposure to prices and the influence of Facebook friends and C2C websites) have carry-over effects on their eWOM intentions. The influence of Facebook friends and C2C websites on deal evaluation is as powerful as that of reference price, especially concerning the mean and the lowest prices.

The findings encourage marketers to invest their resources in targeting online groups, and suggest that C2C website marketers should set their offer prices between the mean and the lowest prices.

This study extends prior research on the motives for eWOM dissemination and elaborates an approach to initiate eWOM intention through deal evaluation.

Internet-based business-to-business electronic procurement (B2B e-procurement) systems are rapidly becoming the primary platform for interorganizational transactions and the delivery of products and services in the travel and tourism industries. Therefore, the purpose of this study is to investigate the critical success factors (CSFs) and implementation strategies for B2B e-procurement systems in travel agency supply chains.

This study developed a multifaceted evaluation framework that draws on the relevant literature and the technology–organization–environment framework. The CSFs underlying B2B e-procurement adoption were identified using hybrid criteria decision-making methods. Purposive sampling was used, and 49 valid questionnaires were obtained from retail travel agencies in Taiwan.

The results reveal that the top four CSFs are system stability, system reliability, sales dynamics and product line availability. By focusing on these CSFs, travel wholesalers can most effectively allocate their limited resources to provide an extensive range of products and services to their clients, improve e-procurement services and enhance interorganizational collaboration in travel agency supply chains.

This study developed a multifaceted evaluation framework and identified four CSFs to assist in the adoption of B2B e-procurement systems in travel agency supply chains.

基于 Internet 的企业对企业电子采购（B2B 电子采购）系统正迅速成为旅行和旅游业中组织间交易以及产品和服务交付的主要平台。 因此, 本研究的目的是调查旅行社供应链中 B2B 电子采购系统的关键成功因素 (CSF) 和实施策略。

本研究开发了一个多方面的评估框架, 该框架借鉴了相关文献和技术-组织-环境框架。 采用混合标准决策 (MCDM) 方法确定了采用 B2B 电子采购的 CSF。 采用有目的的抽样方式, 共从台湾零售旅行社获得49份有效问卷。

结果显示, 排名前四的 CSF 是系统稳定性、系统可靠性、销售动态和产品线可用性。 通过关注这些 CSF, 旅游批发商可以最有效地分配其有限资源, 为其客户提供范围广泛的产品和服务, 改善电子采购服务, 并加强旅行社供应链中的组织间协作。

本研究开发了一个多方面的评估框架, 并确定了四个 CSF, 以协助在旅行社供应链中采用 B2B 电子采购系统。

The purpose of this paper is to test the 5GP concept with measurement of the performance of Busan, Hong Kong, Singapore and Shanghai ports, employing a hybrid method of consistent fuzzy preference relation (CFPR), VIsekriterijumska Optimizacija i KOmpromisno Resenje (VIKOR) and PROMETHEE.

The authors developed the concept of the fifth generation ports (5GPs), and apply CFPR, VIKOR and preference ranking organization method for enrichment evaluations (PROMETHEE) to evaluate the 5GPs.

The performance of the ports of Hong Kong and Singapore is close to meet the definition of 5GP criteria. On the contrary, ports of Busan and Shanghai are still behind the 5GP stage in light of the majority of the evaluation criteria’s performance.

This paper studies four ports. More empirical tests are needed to verify the applicability of the 5GP concept toward other ports.

The findings provided port managers with the insight of how to improve their port to meet the criteria of 5GP.

New criteria and higher expectations of existing requirements present challenges to port managers for a need to raise the bar of service standards and develop new competencies.

The authors developed the concept of the 5GPs. Newly developed 5GP contributes to expanding the concepts of first to fourth generation ports developed by UNCTAD.

The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.

The authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.

The authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.

This study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

The introduction of artificial intelligence (AI) technology has had a substantial influence on the retail industry. However, AI adoption entails considerable responsibilities and risks for senior managers. In this study, the authors developed an evaluation and selection mechanism for successful AI technology adoption in the retail industry. The multifaceted measurement and identification of critical factors (CFs) can enable retailers to adopt AI technology effectively and maintain a sustainable competitive advantage.

The evaluation and adoption of organisational AI technology involve multifaceted decision-making for management. Therefore, the authors used the analytic network process to develop an AI evaluation framework for calculating the weight and importance of each consideration. An expert questionnaire survey was distributed to senior retail managers and 17 valid responses were obtained. Finally, the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method was used to identify CFs for AI adoption.

The results revealed five CFs for AI adoption in the retail industry. The findings indicated that after AI adoption, top retail management is most concerned with factors pertaining to business performance and minor concerned about the internal system's functional efficiency. Retailers pay more attention to technology and organisation context, which are matters under the retailers' control, than to external uncontrollable environmental factors.

The authors developed an evaluation framework and identified CFs for AI technology adoption in the retail industry. In terms of practical application, the results of this study can help AI service providers understand the CFs of retailers when adopting AI. Moreover, retailers can use the proposed multifaceted evaluation framework to guide their adoption of AI technology.

The purpose of this study is to develop a theoretical model that integrates two different mechanisms to explain knowledge sharing. First, adapted from traditional reward systems, the calculative-based mechanism (CBM) serves as the benchmark. Second, the relational-based mechanism (RBM) plays a complementary role. RBM is founded on social interaction and consists of two social network constructs: relational deposits (i.e. network and valued network centralities) and withdrawals (i.e. network and valued network densities).

This study collected survey data in collaboration with a health-care organization. The data collected from 180 respondents were tested against the research model using a partial least squares analysis.

This study found the CBM to be beneficial for knowledge sharing. The findings support the RBM prediction of a positive relationship between the deposit construct and knowledge sharing, but fail to support the RBM prediction on the withdrawal construct. The RBM explained about 15 per cent more of the variance than the CBM. In addition, the withdrawal construct of the RBM predicts respondents’ beliefs in reciprocal obligation.

RBM does not as strongly associate with economic benefits as the CBM, but it still plays a noteworthy role in increasing the possibility of an individual knowledge sharing.

The study is the first to propose the concepts of relational deposits and withdrawals. The authors use a roster-based sociometric approach to collect the social network data and to benchmark the effect of RBM with that of CBM on individual knowledge sharing and his/her beliefs in reciprocal obligation.