Electronic Commerce Research Profiles: Comparing E-Commerce and Information Systems Journals

The rapid diffusion of information and mobile technologies has revolutionized the way we do business and how we conduct our daily lives. Electronic commerce (e-commerce or EC) has had an enormous impact on business practices and has become a new area of study for researchers in related fields. Thousands of papers on this subject have been published in the past two decades, most of which have been published in e-commerce (EC) journals. However, many such papers have been published in information systems (IS) journals. Information systems have become the core discipline that drives e-commerce research. The purpose of this research is to report on the profiles of e-commerce papers published in major EC and IS journals, and to determine whether papers that have appeared in EC journals differ from those published in IS journals. We surveyed EC papers published in ten major journals and conducted a bibliometric analysis. Our findings indicate that (1) more EC papers are published in EC journals, but papers published in IS journals are cited more often; (2) collectively, authors in the U.S. are the most prolific, followed by those in China and Taiwan; (3) more theories were used in recent papers than in earlier ones, and the TAM has been the most popular model; (4) B2C and consumer behavior have been the most popular subject areas for EC research; and (5) the core knowledge measured by the co-citation network was provided by the same group of authors in EC and IS journal publications. Available at: https://aisel.aisnet.org/pajais/vol9/iss3/4

Combing customer profiles for members' return visit rate predictions

[[abstract]]The major profit of companies in Taiwan is generated by online advertising and e-commerce. Effective advertising requires predicting how a user responds to an advertisement and then targeting (presenting the advertisement) to reflect users’ favor. As customers’ preferences may change over time, we take the different types of past behavior patterns of the registered members to capture concept drifts. Then, we combine the click preference index (CPI) and the preference drifts to propose a Behavioral Preference (BP) model, and to predict the members’ return visit rates in the specific category of the portal site. The marketers of the portal site can target the registered members with high return visit rates and design corresponding marketing strategies. The experimental results with a real dataset show that our model can effectively predict the registered members’ return visit rates.[[notice]]補正完畢[[journaltype]]國外[[ispeerreviewed]]Y[[booktype]]紙本[[countrycodes]]JP

IT Enabled Service Innovation In E-Government: The Case Of Taiwan Drug Abuse Reduction Service

Drug abuse problem is one of the toughest issues faced by governments in the world. The typical solution is every time when the drug abuse offenders are under arrest, they are jailed for a while. There is high probability that they will repeat the offense after leaving the prison. Thus, such a solution wastes lots of administrative resources from the government, yet still cannot reduce the recidivism of drug abuse. Nowadays, most countries treat drug abuse offenders as patients, and offer them substitute treatment in order to reduce the dependence on drug and also reduce the risk of infecting AIDS. The patients will go to work as a normal person, live as a normal person, and keep their human dignity. In this study, we introduce the care of Taiwan drug abuse reduction service by service blueprinting method. The service integrates several ministries of Taiwan government in signal information system, and will be triggered automatically when the drug abuse offender is leaving the prison. Subsequently, we analyze the case by the framework of Service Open System View and then provide some suggestions for improvement of the existing service. This study share the case of Taiwan drug abuse reduction service and provide the best practice of improving existing service by the view point of service science to academics

Role of the Diphosphine Chelate in Emissive, Charge-Neutral Iridium(III) Complexes

A class of neutral tris-bidentate Ir(III) metal complexes incorporating a diphosphine as a chelate is prepared and characterized here for the first time. Treatment of [Ir(dppb)(tht)Cl3] (1) with fppzH afforded the dichloride complexes, trans-(Cl,Cl)[Ir(dppb)(fppz)Cl2] (2) and cis-(Cl,Cl)[Ir(dppb)(fppz)Cl2] (3). The reaction of 3 with the dianionic chelate precursor bipzH2 or mepzH2, in DMF gave the complex [Ir(dppb)(fppz)(bipz)] (4) or [Ir(dppb)(fppz)(mepz)] (5), respectively. In contrast, a hydride complex [Ir(dppb)(fppz)(bipzH)H] (6) was isolated instead of 4 in protic solvent, namely: DGME. All complexes 2 - 6 are luminescent in powder forms and thin films where the dichlorides (2, 3) emit with maxima at 590-627 nm (orange) and quantum yields (Q.Y.s) up to 90% whereas the tris-bidentate (4, 5) and hydride (6) complexes emit at 455-458 nm (blue) with Q.Y.s up to 70%. Hybrid TD-DFT calculations showed considerable MLCT contribution to the orange-emitting 2 and 3 but substantial ligand-centered 3ππ* transition character in the blue-emitting 4 - 6. The dppb does not participate to these radiative transitions in 4 - 6, but it provides the rigidity and steric bulk needed to promote the luminescence by suppressing the self-quenching in the solid state. Fabrication of an OLED with dopant 5 gave a deep blue CIE chromaticity of (0.16, 0.15). Superior blue emitters, which are vital in OLED applications, may be found in other neutral Ir(III) complexes containing phosphine chelates

Causal networks of phytoplankton diversity and biomass are modulated by environmental context

Untangling causal links and feedbacks among biodiversity, ecosystem functioning, and environmental factors is challenging due to their complex and context-dependent interactions (e.g., a nutrient-dependent relationship between diversity and biomass). Consequently, studies that only consider separable, unidirectional effects can produce divergent conclusions and equivocal ecological implications. To address this complexity, we use empirical dynamic modeling to assemble causal networks for 19 natural aquatic ecosystems (N24◦~N58◦) and quantified strengths of feedbacks among phytoplankton diversity, phytoplankton biomass, and environmental factors. Through a cross-system comparison, we identify macroecological patterns; in more diverse, oligotrophic ecosystems, biodiversity effects are more important than environmental effects (nutrients and temperature) as drivers of biomass. Furthermore, feedback strengths vary with productivity. In warm, productive systems, strong nitrate-mediated feedbacks usually prevail, whereas there are strong, phosphate-mediated feedbacks in cold, less productive systems. Our findings, based on recovered feedbacks, highlight the importance of a network view in future ecosystem management

Graphene on Au-coated SiOx substrate: Its core-level photoelectron micro-spectroscopy study

The core-level electronic structures of the exfoliated graphene sheets on a Au-coated SiOx substrate have been studied by synchrotron radiation photoelectron spectroscopy (SR-PES) on a micron-scale. The graphene was firstly demonstrated its visibility on the Au-coated SiOx substrate by micro-optical characterization, and then conducted into SR-PES study. Because of the elimination of charging effect, precise C 1s core-level characterization clearly shows graphitic and contaminated carbon states of graphene. Different levels of Au-coating-induced p-type doping on single- and double-layer graphene sheets were also examined in the C 1s core-level shift. The Au-coated SiOx substrate can be treated as a simple but high-throughput platform for in situ studying graphene under further hybridization by PES

Effective gene expression in the rat dorsal root ganglia with a non-viral vector delivered via spinal nerve injection

Delivering gene constructs into the dorsal root ganglia (DRG) is a powerful but challenging therapeutic strategy for sensory disorders affecting the DRG and their peripheral processes. The current delivery methods of direct intra-DRG injection and intrathecal injection have several disadvantages, including potential injury to DRG neurons and low transfection efficiency, respectively. This study aimed to develop a spinal nerve injection strategy to deliver polyethylenimine mixed with plasmid (PEI/DNA polyplexes) containing green fluorescent protein (GFP). Using this spinal nerve injection approach, PEI/DNA polyplexes were delivered to DRG neurons without nerve injury. Within one week of the delivery, GFP expression was detected in 82.8% ± 1.70% of DRG neurons, comparable to the levels obtained by intra-DRG injection (81.3% ± 5.1%, p = 0.82) but much higher than those obtained by intrathecal injection. The degree of GFP expression by neurofilament(+) and peripherin(+) DRG neurons was similar. The safety of this approach was documented by the absence of injury marker expression, including activation transcription factor 3 and ionized calcium binding adaptor molecule 1 for neurons and glia, respectively, as well as the absence of behavioral changes. These results demonstrated the efficacy and safety of delivering PEI/DNA polyplexes to DRG neurons via spinal nerve injection.National Science Council of Taiwan (100-2321-B-002-007)National Science Council of Taiwan (100-2320-B-002-083-MY3)Taiwan. Ministry of Science and Technology (104-2300-B-002-019-MY3)National Taiwan University. College of Medicine (Translational Medicine Project)National Taiwan University Hospital (101C101-201