Internet Multiattribute Group Decision Support in Electronic Commerce

The rapid growth of the Internet has provided the means for distributed organizational decision making for electronic commerce. Members of organizations can jointly investigate products, exchange information, and make decisions on-line from remote sites. Internet-based multiattribute group decision making is characterized by three aspects, (i) individual interactive decision making, (ii) communication means, and (iii) group consensus reaching. The purpose of this research was to study the role of communication and individual decision strategies and their influence on multiattribute group decision making and consensus reaching in organizational electronic commerce settings. The results of this study indicate that analytic decision support is indispensable in collaborative Internet-based decision making, that a perfect match of analytic decision support and communication channels must be achieved, and that efficiency of individual decision support should be compromised for higher confidence in the group's decisions. The results of this study also confirm findings by Häubl and Trifts (2000) that interactive decision analytic support has positive effects on the quality and efficiency of individual decision making, and findings by Limayem and DeSanctis (2000) and Todd and Benbesat (2000), that decision makers will use normative decision models if they require little effort and if decisional guidance is provided. The conclusion drawn from this study is that the continuously evolving Internet technology for collaborative decision making is only one aspect for better organizational decision making – the crucial aspect, however, will be the development and optimal integration of analytic decision models, communication channels, and consensus reaching mechanisms.     

The Effects of Electronic Collaboration in Distributed Project Management

Abstact The emergence and widespread use of collaborative technologies for distributed project management has opened up opportunities for off-shore outsourcing and collaborative development. However, most tools and techniques for project management focus on on-site, long term relationships and sourcing strategies at a time when inter-organizational relationships are becoming more dynamic and geographically dispersed. This paper uses grounded theory to analyze data on virtual teams' projects. The analysis uncovers “effects” in the way in which distributed projects are managed. These effects relate to coordination, communication and adaptation to distributed electronic work environments. Following an analysis of these electronic collaboration “effects”, a model for distributed project management is presented.     

信号级协同计算平台架构及应用思考

针对智能化作战对军事电子信息系统计算能力提升的迫切需求，结合云计算的资源虚拟化、大数据的分布式计算等技术，提出了基于嵌入式CPU+ALL（DSP、FPGA、PPC、GPU、AI处理器等）的异构处理的信号级协同计算平台架构，包括弹性、轻量级异构资源虚拟化模型、分布式实时计算框架和智能计算框架等，形成了一套架构统一、资源共用、使用简便的协同计算和智能计算环境。通过战术级无线电认知和智能信号与信息处理两个典型应用场景，探讨了该信号级协同计算平台可能带来的颠覆性效用。     

Health Literacy,Health Numeracy,and Trust in Doctor: Effects on Key Patient Health Outcomes

This research examines the roles of health literacy, health numeracy, and trust in doctor on: (1) patient anxiety when consulting a doctor; (2) frequency of physician consultations; and (3) patient subjective well-being (SWB). Our sample consisted of 4,040 adults representative of the United States in terms of age, income, and education, but equally split among White/Caucasian (50%) and Black/African American (50%) respondents. We found that functional and communicative health literacy and trust in doctor have linear and curvilinear relationships with anxiety when consulting a doctor. Health numeracy had no effect. Anxiety when consulting a doctor was associated with a lower number of physician consultations and lower SWB. We observed direct linear effects of health literacy, health numeracy, and trust in doctor on frequency of physician consultations and SWB, as well as some curvilinear effects. We found a negative relationship between health numeracy and SWB. We discuss implications of these findings for health and public policy.     

Distributed group support systems: Social dynamics and design dilemmas

A “distributed group support system”; includes decision support tools and structures embedded within a computer‐mediated communication system rather than installed in a “decision room.”; It should support groups who are distributed in space but not time ("synchronous”; groups), as well as “asynchronous”; groups whose members participate at different times. Pilot studies conducted in preparation for a series of controlled experiments are reviewed in order to identify some of the problems of implementing such a system. Many of the means used by groups meeting in the same place at the same time to coordinate their activities are missing. Embedding decision support tools within a different communications medium and environment changes the way they “work.”; Speculations are presented about software tools and structuring or facilitation procedures that might replace the “missing”; coordination channels.     

A‐pool: An agent‐oriented open system shell for distributed decision process modeling

An agent‐oriented open system shell, A‐Pool, for distributed decision process modeling in the Internet domain is presented. Unlike most decision support systems, A‐Pool provides a testbed for modeling and understanding the cognitive aspects of distributed decision processes themselves rather than for domain‐specific problem solving. This is achieved with a pool of virtual agents and a pool of cognitive maps of the agents at each A‐Pool node. The virtual agent scheme extends object‐oriented programming to the Internet domain and supports different communication and collaboration protocols with virtual communities, virtual sessions, and virtual conferences. The cognitive map scheme supports perspective sharing and various conflict integration and resolution strategies through cognitive map composition, derivation, and focus generation. Thus each A‐Pool node provides an architecture for modeling interdependencies and for ensuring global coherence; in addition, the communication is asynchronous and the control is distributed, allowing a large degree of autonomy and the examination of various thoughts and social protocols involved in strategic planning in an open system environment. Basic ideas are illustrated with a running example.     

Cooperation support through the use of group decision systems

This article considers the development of the group decision support system (GDSS) field both from organizational and technological perspectives. The growing importance of teamwork, lateral coordination, and activities integration inside modern business organizations is emphasized. Technological and knowledge specialization, quick transformation of business environments, reduction of response time, and so on, are some of the reasons that can explain the renewed relevance of teamwork. Also, the development of information technology (IT) is analyzed in relation to the role it is assuming in supporting group activities. Research in the GDSS field is then introduced. A proposal concerning the identification of three different phases in GDSS studies is developed, ranging from decision rooms to distributed systems. Each phase shows distinctive research topics and application fields, together with different organizational goals. Results of these developments are the growth of potential application areas of GDSS tools. These theoretical considerations, together with empirical experiences coming from the study of a real manufacturing environment (an IBM plant where group cooperation plays a fundamental role for production efficiency), constitute the basis for a research GDSS prototype (GROUPS). Prototype features are designed to support executives in facing production‐planning problems through an improvement in communications and in knowledge representation.     

Executive GDSS: Behavioral considerations at individual,organizational, and environmental levels of analysis

This article emphasizes the importance of behavioral considerations at individual, organizational, and environmental levels of analysis when researching and evaluating the design, implementation, and use of group decision support systems (GDSS) within complex organizations. Discussion is based on interview and archival data collected on an executive level GDSS used within a corporate setting. Issues that are considered generalizable to organizational computing, coordination, and collaboration technologies concern (a) viewing organization participants as strategic, intuitive information processors, (b) understanding the importance of organizational power, politics, and situational constraints on decision making, and (c) appreciating the symbolic value of advanced information technologies to an organization's external environment.     

A Proposal of Toolkit for GDSS Facilitators

Most group decision meetings are perceived to be extremely unproductive in terms of efficiently utilizing the participants’ time and effectively achieving the group decision meeting objectives. Indeed, group decision meetings consume a great deal of time and effort in organizations. These problems occur frequently because effective guidelines or procedures are not used. To overcome these problems, many group decision support systems (GDSS) imbed some facilitation mechanisms and are currently being used with the help of a human facilitator who guides the group members through the decision process. We propose in this paper a toolkit for GDSS facilitators that we integrate in our proposed architecture for distributed GDSS. Based on a model of the decision making processes group facilitation tasks are automated, at least partially in order to increase the ability of inexperienced facilitator to monitor and control the group decision meeting process.     

Designing communication architectures for interorganizational multimedia collaboration

Advances in computer and communication technologies have stimulated the integration of digital video and audio with computing, leading to the development of various computer‐assisted collaborations. In this article, we propose a multilevel conferencing paradigm called super conference for supporting collaborative interactions between geographically separated groups of users, with each group belonging to possibly a different organization. In a super conference, each participant must receive and display the composite media stream obtained by mixing media streams transmitted by all the other participants. Hierarchical communication architectures are naturally suited for media mixing in super conferences. We present algorithms for designing hierarchical mixing architectures that optimize real‐time end‐to‐end delays of media. In order to improve their real‐time performance further, we propose multistage mixing techniques by which mixers can carry out mixing concurrently with communication. Surprisingly, the optimal architectures for multistage mixing are widely different from those of monostage mixing (in which, mixing and media communication sequential as opposed to concurrent). Based on real‐time delay constraints of multimedia, we obtain interesting limits on the sizes of both super conferences and groups within super conferences in optimal hierarchical architectures, which go to show their high scalability in terms of both the maximum number of participants and the geographical separation between them.

At the Multimedia Laboratory at the University of California, San Diego, we have implemented a conferencing system on an environment of Sun SPARCstations equipped with digital multimedia hardware. As an interesting application of the conferencing system, we have developed a telepresenter by which users can remotely attend lectures in progress. We present initial experiences with the system.     

Cognitive Load in Collaboration: Convergence

Collaboration is inherent to complex participatory multi-actor and multi-agent social technical systems. Supporting collaborative problem solving is challenging, especially with the increased amount of data and information available for decision makers; they often experience information overload. Therefore, one of the key steps in problem solving is convergence; after considering many alternatives, the group converges their focus to a few for decision making. One of the key production factors in collaborative problem solving, and thus convergence is cognitive effort. Understanding cognitive load involved in convergence tasks is therefore important to the design of collaboration support. Convergence is a complex collaborative task, which is much less studied than the often preceding, divergence or brainstorming task. On the basis of an overview of convergence techniques and literature on convergence this paper presents a framework for the assessment of cognitive load during collaboration processes, and strategies to deal with cognitive load in convergence. Evaluation of the framework with experts and with participants in a convergence process provides the grounds for reflection on the use and implications of the framework.     

Integrating Analytics Through the Big Data Information Chain: A Case From Supply Chain Management

The benefits of good decision making by a distributor often have broad leverage across a supply chain, and data science provides a comprehensive framework for making this possible. We present a case study of an ongoing partnership between the authors and corporate managers at a distributor of heating, ventilating, and air‐conditioning products. We describe in detail the “vertical integration” of our analytical tools through a long chain of data scientific activities, backward to raw data, and forward to visually appealing output, in an organization with legacy information technology infrastructure. The models are applied to a large‐scale data set, and spreadsheet‐based decision support tools that include useful visualization capabilities for the firm are illustrated. We also offer this case as a blueprint for building a collaborative research relationship between academia and industry.     

Computer support for work across space,time, and social worlds

Collaboration is at the heart of the academic enterprise; proposals for systems such as the National Science Foundation's “National Collaboratory”; or Apple Computer's “Knowledge Navigator”; seek to support these collaborative efforts by means of a variety of computing technologies. We examine the assumptions of the model of collaborative work behind such proposals and suggest ways to extend that model. We draw on a case study of collaborative efforts in classical scholarship in order to explore more fully the existing modalities of academic collaboration as it actually occurs. The development of a broader understanding of collaborative activities will enable us to address more effectively the challenge of constructing systems to support collaborative work.     

Value co‐creation in online healthcare communities: The impact of patients’ reference frames on cure and care

The gradual transition of health care toward businesses during the past 50 years has converted passive patients into active customers. In our digital society, patients increasingly use online health communities to satisfy complex needs that healthcare professionals leave unmet, including the creation of cure‐oriented (i.e., functional) and care‐oriented (i.e., emotion) value. This research investigates patients’ reference frames (self versus other) as an information processing mechanism and their impact on value creation in online communities. The analysis of 1,687 online postings of a leading healthcare platform shows that self‐referencing is typical for information obtained through an individualistic, patient–doctor encounter; other‐referencing emerges when patients focus on the needs of their peers. Information gathered through the patient–doctor encounter and processed with a self‐referencing frame accordingly enhances cure‐related value, but limits care‐oriented value co‐creation. Other‐referencing does exactly the opposite: it creates a barrier to cure‐related value, but stimulates care‐related value. A patient's experience with the community largely moderates the impact of both self‐ and other‐referencing on cure‐ and care‐related value. These findings show that online health communities can identify and address unmet patient needs, but healthcare professionals still play a critical role in terms of ensuring information quality in online health communities.     

A Calibrated Group Decision Process

In practice most organisational decisions are made by groups that bring into the problem multiple perspectives, both complementary and contradictory. When having a group of decision makers, usually individuals’ preferences are either led to consensus or are aggregated with the use of some function like the median, the arithmetic or geometric mean. We focus in the second case, where individual’s preferences need to be aggregated. Our approach is based on the fact that when two decision makers are asked to give their preference between a pair of criteria using a specific scale, it is possible that they will give slightly different answers, even when they actually have the same opinion. This difference will not affect the case of a single decision maker, as it will be consistent throughout the whole process. However, it can affect a group decision when the values will be used as an input for the aggregation function. A novel approach is presented that enhances group decision making through a group calibration process. The proposed process adjusts individuals’ preferences based on their answers on a set of standardized questions prior to the aggregation phase. The method focuses The whole concept is applied to the group analytical network process method and it is illustrated through a telecommunications project case. The decision under examination concerns the selection of the right place for deploying a new telecom service of a multinational-based telecommunications company where a group of geographically dispersed decision makers form an ad-hoc virtual team in order to select the location for a new technical support centre.     

A Study Towards Improving Web-Based Collaboration Through Availability of Group Awareness Information

Group awareness can be broadly defined as consciousness and information of various aspects of the group and its members. It also refers to information received by members of a group about the other group members, about mutually employed objects, and about current group processes, in order to efficiently carry out certain tasks. The group awareness information presented in this paper is designed to capture group member activities and their behaviors in web-based collaborative work. It consists of activity, availability, and commitment/disposition information. The first two parameters appear as a visual display representing cumulative data and changes accordingly when the group begins working together. The last parameter is captured during group work and is summarized at the end of the group work task. This paper reports on the results of a study in a controlled experiment that examined group performance on a given task in a web-based group decision support system with and without group awareness information. In particular, the study examined how group awareness information impacts the quality of the work effort and a given task, group decision making by members in the same group and different groups, the communications among group members during the completion of an online collaborative authoring task, the cohesiveness among group members, and the commitment/disposition of engagement of each member of the work group.     

Multicriteria Portfolio Modeling for the Development of Shared Action Agendas

Organizations and collaborative networks set strategic directions by building agendas of action topics that will be implemented subject to limited resources and other constraints. The development of such agendas typically involves several decision makers and possibly other stakeholders who may have divergent views about how the topics contribute to multiple objectives. The processes of developing these agendas can be supported by methods of multicriteria decision analysis which allow the group members’ preferences to be systematically and transparently synthesized. In this paper, we extend methods of portfolio decision analysis with the aim of guiding the development of agendas in the presence of possibly incomplete information about the group members’ preferences and the impacts of the proposed topics. Specifically, we define performance measures that convey (i) what topics are favored by individual group members and (ii) how acceptable alternative portfolios of topic agendas are to the whole group. The methods are illustrated with data from a real case study for the development of a national research agenda on wood products in Finland.     

Performance-Based Reward Distribution Methods for Anonymous Decision-Making Groups

Research has shown that both the support of anonymity and the use of appropriate incentives can lead to improved group performance. Anonymity enables a more open discussion resulting in a more critical analysis of a problem. Rewards can motivate individuals to cooperate, giving them the incentive to share valuable information with the group. Unfortunately, these two mechanisms are both dependent on the ability to identify the contributor. Anonymity hides the identity of the contributor, while the support of individualized, performance-based rewards requires the rewarding agent to be able to determine the identity of the contributor. This contradictory requirement has prevented the simultaneous used of anonymity and performance-based rewards in decision making. Using group decision support systems as a basis, this work identifies procedures to simultaneously support participant anonymity and performance-based rewards. Mechanisms based on public key encryption technologies are presented which make it possible to distribute individual rewards to anonymous contributors, guarantee that only the contributor can claim a reward for her contribution, verify that a reward has been distributed, and be able to deliver this reward in such a way that the identity of the anonymous contributor is protected. This is accomplished without the rewarding agent ever knowing the identity of the recipient.