Green port development in Hong Kong - reduction of marine and port-related emissions

The Conference proceedings' website is located at http://www.hsmc.edu.hk/images/scm_CallForPaper/Conference%20Proceedings.pdfThe impact of air pollutant emissions from shipping and port operations towards environment and health is a pressing global concern. The marine and port sectors have contributed significantly to the growth of the supply chain industry and the economic development, while, at the same time, the pollutant emissions rising from ships and port-related operations have inflicted adverse public health concerns. Leading ports and terminals continuously impose measures to reduce the greenhouse gas emitted during vessel berthing. Hong Kong, being the third largest container port in the world and having the second cruise terminal running into operation, urgently requires comprehensive green port operations and practices. This paper evaluates and benchmarks the latest measures conducted by the leading ports over the world in reducing the greenhouse gas emissions from ship and port operations. International regulations, onshore power supply, vessel speed reduction, and fuel switching are analyzed. Recommendations on the future green port development in Hong Kong are proposed.postprin

eBay\u27s Crowded Evenings: Competition Neglect in Market Entry Decisions

Do firms neglect competition when making entry decisions? This paper addresses this question analyzing the time of day at which eBay sellers set their auctions to end. Consistent with competition neglect, it is found that (i) a disproportionate share of auctions end during peak bidding hours, (ii) such hours exhibit lower selling rates and prices, and (iii) peak listing is more prevalent among sellers likely to have chosen ending time strategically, suggesting disproportionate entry is a mistake driven by bounded rationality rather than mindlessness. The results highlight the importance for marketing researchers of assessing rather than assuming the rationality of firm behavior

Information Systems Research Themes: A Seventeen-year Data-driven Temporal Analysis

Extending the research on our discipline’s identity, we examine how the major research themes have evolved in four top IS journals: Management Information Systems Quarterly (MISQ), Information Systems Research (ISR), Journal of the Association for Information Systems (JAIS), and Journal of Management Information Systems (JMIS). By doing so, we answer Palvia, Daneshvar Kakhki, Ghoshal, Uppala, and Wang’s (2015) call to provide continuous updates to the research trends in IS due to the discipline’s dynamism. Second, building on Sidorov, Evangelopoulos, Valacich, and Ramakrishnan (2008) we examine temporal trends in prominent research streams over the last 17 years. We show that, as IS research evolves over time, certain themes appear to endure the test of time, while others peak and trough. More importantly, our analysis identifies new emergent themes that have begun to gain prominence in IS research community. Further, we break down our findings by journal and show the type of content that they may desire most. Our findings also allow the IS research community to discern the specific contributions and roles of our premier journals in the evolution of research themes over time

Business-to-Business E-Marketplaces: A Strategic Archetypes Approach

Electronic marketplaces (EMs) are an important empirical phenomenon, because they are theoretically linked to significant economic and business effects. Different types of EMs have been identified; further, some researchers link different EM types with different impacts. Because the effects of EMs may vary with types, classifying and identifying the characteristics of EM types are fundamental to sound research. Some prior approaches to EM classification have been based on empirical observations, others have been theoretically motivated; each has strengths and limitations. This paper presents a third approach: surfacing strategic archetypes. The strategic archetypes approach has the empirical fidelity associated with the large numbers of attributes considered in the empirical classification approach, but the parsimony of types and the theoretical linkages associated with the theoretical classification approach. The strategic archetypes approach seeks a manageable number of EM configuration types in which the attributes are theoretically linked to each other and to hypothesized outcomes like performance and impacts. The strategic archetypes approach has the potential to inform future theoretical and empirical investigations of electronic marketplaces and to translate research findings into successful recommendations for practice

How to measure competition? The role of price dispersion in B2B supply markets

Since the formation of close relationships with suppliers requires a considerable amount of resources, the capacities for such relationships are limited. Thus, recently, research points into the direction that it might not be conducive to unconditionally engage in strategic buyer-supplier alliances. Specifically, in those cases where there is a vivid competition within the supply market, it might not be necessary to cooperate closely. However, a convenient measurement method for competition has been missing in the literature so far. Accordingly, this conceptual paper translates insights from the field of economics for an application in purchasing and supply management. It is recommended to evaluate the product price dispersion of supplier quotations in order to assess the intensity of competition in supply markets. As a consequence, this conceptual paper paves the way for future research on competition between suppliers. For managers, the proposed method could support the development of efficient purchasing strategies

Improving Data Quality, Model Functionalities and Optimizing User Interfaces in Decision Support Systems

This dissertation contributes to the research on three core elements of decision support systems for managers and consumers: data management, model management and user interface. With respect to data management this dissertation proposes an approach for reducing unobserved product heterogeneity in online transaction data sets. The example of an online auction data set is used to investigate the approach’s ability to improve data quality. In the area of model management this dissertation contributes an approach to elicit consumer product preferences for exponential (beside linear) utility functions aiming at predicting consumers’ utilities and willingness-to-pay for individual products. The question which utility function (linear or exponential) is better suited for predicting product utilities and the willingness to pay is evaluated using a laboratory experiment. Further, in the area of user interfaces this dissertation deals with information visualization. Focusing on coordinate systems, a laboratory experiment is used to investigate which visualization format (two or three dimensional) is better suited for supporting simple vs. complex decision making scenarios and which criteria matter when choosing a visualization format for a particular level of decision making complexity

How Do Sellers Benefit From Buy-It-Now Prices in Ebay Auctions? -- an Experimental Investigation

In Buy-It-Now (BIN, hereafter) auctions, sellers can make a "take-it-or-leave-it" price offer (BIN price) prior to an auction. We analyse experimentally how eBay sellers set BIN prices and whether they benefit from offering them. Using the real eBay environment in the laboratory, we find that the eBay auction format supports deviations from truthful bidding leading to auction prices substantially below those expected in second-price auctions. Our results reveal that the observed price deviations are not an artefact due to the existence of the BIN price, rather a consequence of the specific features of the eBay-auction format - a mixture between sealed-bid and open second-price auction with a fixed end-time. Moreover, we find that information available on eBay can be used as indicator for the price deviation and that sellers respond strategically to this information. Seller risk aversion does not affect BIN prices and more experienced sellers ask for higher BIN prices. The introduction of BIN prices to eBay auctions has an enhancing effect: the eBay BIN auction is more efficient and generates significantly higher revenue compared to a standard eBay auction without a BIN price