Exhaustive Guide to Group Decision Support Systems (GDSS) and Executive Support Systems (ESS)

Introduction to Group Decision Support Systems (GDSS)

• Many business decisions involve a group of people rather than a single individual. While one person may hold final responsibility for the decision, meetings are utilized to allow everyone to have a say, analyze potential effects across different areas, and persuade others to accept an agreed-upon decision.

• Traditional group decision-making processes face several complications:

  • The requirement for someone to organize and control the meeting.

  • Competition among participants to make comments and ensure their personal options are heard.

  • The logistics of note-taking during the meeting.

  • The requirement to count and record votes.

• Information systems (IS) provide tools to assist in these group decision scenarios:

  • Tools for sharing data and documents.

  • Message systems to share comments and early drafts of work.

  • Bulletin boards to allow all participants to express opinions and evaluations.

• In the late $1980\text{'s}$, an additional tool was defined: the Group Decision Support System (GDSS).

• Definition of GDSS: An organization-focused decision support system designed to help managers and executives reach a consensus during events requiring collective opinions and proposals. It employs various tools to make communication, collaboration, and decision-making involving large numbers of managers and/or executives efficient and cost-effective.

Why Use GDSS?

• Group Problem Mitigation:

  • Reduces pressures of conformity that lead to "groupthink" (defined as consensus resulting from peer, group, or member pressure).

  • Streamlines the coordination, representation, and planning of collaboration meetings.

  • Optimizes group dynamics by allotting specific, appropriate responsibilities to each collaborator.

  • Reduces the probability of the group making high-risk decisions or decisions of poor quality.

• Maximization of Group Effectiveness and Efficiency:

  • Empowers the group to better understand complex problems and eliminate errors.

  • Enables members to leverage information and knowledge specifically tied to their individual areas of expertise.

  • Streamlines group work processes, which assists in eliminating resistance and achieving better decision consensus.

  • Ensures collaborators have accountability for decisions, which instills a sense of responsibility in their vote.

• Support of Multiple Collaboration Processes:

  • Provides access to established rules that aid in the decision-making process.

  • Utilizes specialized tools and subsystems to generate useful ideas and alternative solutions.

  • Reduces the overall costs associated with decision-making collaborations for groups.

Elements of a GDSS

• Pre-Planning: This element addresses the formal agendas of decision-making meetings. It manages the specific topics on the agenda, the ultimate end goal of the collaboration (e.g., reaching a final decision or planning further collaboration if no consensus is reached), and the development of possible future agendas.

• Collaboration Facilitation: This element is responsible for ensuring that ideas and communications are free-flowing. It works to remove interruptions or hindrances that might stop the exchange of information.

• Evaluation Objectivity: This element provides equal opportunity for all collaborators by removing "office politics." This is defined as the practice of dismissing ideas based on the specific person who presented them rather than the merit of the idea itself.

• Documentation: This element logs all information from the collaboration, including meeting minutes and result decisions. This allows members who are "geographically challenged" (physically distant) to stay informed of what took place.

GDSS Limitations

• Digitized Input is Required: Unlike traditional physical meetings where comments and criticisms are conveyed via oral discussion, a GDSS may require typed input, graphic presentations, or digital spreadsheets. This can be a barrier for managers who favor traditional collaboration methods.

• Moderation is Limited: The system's capabilities can become liabilities when multiple discussions occur simultaneously. Individuals with high technical proficiency in using the GDSS effectively may gain an unfair advantage or "upper hand" in discussions.

• High Maintenance Costs: While the system aims to reduce costs, maintaining a high-end facility equipped for GDSS collaboration can be expensive. Implementations often require justification through regular use. One revenue-generating option is leasing the facility to academic institutions or other companies.

• Requirement for a Facilitator: Complex GDSS setups often require a facilitator to lead collaborations, assist users, and control the system network. This creates complications regarding whether to train an existing employee or hire a project-based external professional.

Characteristics and Tools of a GDSS

• Any computer system is traditionally classified by the "trifecta" of hardware, software, and persware (also known as peopleware). A GDSS redefines these elements:

  • Hardware: Includes computer equipment, conference facilities, audiovisual (AV) equipment, and networking technology to connect collaborators.

  • Persware/Peopleware: Includes the collaborators themselves, but also meeting planners, hardware operator staff, and facilitators.

  • Software: Includes operating systems and specialized tools with enhanced network connectivity to involve more people in the decision-making process.

• Specific GDSS Software Tools:

  • Questionnaire Tools: Used for data-gathering, questioning, and investigation during the planning and collaboration phases.

  • Electronic Brainstorming: Facilitates the creation of proposals and solutions. It often features anonymity to prevent "office politics" from interfering with votes or opinions.

  • Stakeholder Identification: Determines the impact of the group's decision and may have the capacity to weigh specific collaborators' votes before finalization.

  • Group Dictionaries: Reduces problems or concerns into distinct, shared interpretations to help decision-makers choose correctly.

Role of Executive Support Systems (ESS)

• Definition of ESS: A type of support system tailored specifically for high-level executive use. It was created because traditional DSS implementations are often too specific to certain departments or personnel for senior management's needs.

• ESS provides tools for high-level tasks including predictions, summarizing vast information, and data acquisition.

• Data in an ESS is primarily external in nature because executive decisions are usually made in the context of the external world outside the organization.

• The system must be flexible and easy to manipulate to accommodate varying situations.

• Specific Roles of ESS:

  • Information Filtering: Sifts through massive volumes of information so executives can narrow down details and pinpoint alternatives without being overwhelmed by irrelevant data.

  • Data Linking: Links information from both internal and external sources. It often incorporates Internet connectivity to increase flexibility.

  • Executive Role Support: Supports the $3$ basic roles of an executive:

    • Interpersonal roles: e.g., leader, liaison.

    • Informational roles: e.g., spokesperson, monitor, announcer.

    • Decisional roles: e.g., negotiator, entrepreneur.

Benefits and Disadvantages of ESS

• Benefits:

  • Simplicity: Considered an "oversimplified" system because it requires no in-depth computer experience. Navigation is easy despite the lack of specialized technical functions.

  • Information Processing: Facilitates timely delivery by filtering, tracking, and processing data in the shortest possible time.

  • Flexibility: Highly advantageous for organizations with fewer management layers; can be integrated into other emerging technologies.

• Disadvantages:

  • Computer Skill Requirement: Usage assumes executives possess at least basic computer operation knowledge.

  • Long Processing Time: Depending on the volume of data, analysis and processing for desired info can take considerable time.

  • Limitations on Summarized Information: Summarized data may be insufficient, forcing executives to go back to other systems (like a DSS) for specific details.

  • Difficulty in Quantifying Benefits: It can be difficult for an executive to justify a decision based on summarized information if precise details are questioned.

  • Difficulty in Maintaining Database Integrity: Large volumes of external data may not be accurate, leading to incorrect results and complicated processing.