Work system has been used loosely in many areas. This article concerns its use in understanding IT-reliant systems in organizations. A notable use of the term occurred in 1977 in the first volume of MIS Quarterly in two articles by Bostrom and Heinen (1977). Later Sumner and Ryan (1994) used it to explain problems in the adoption of CASE (computer-aided software engineering). A number of socio-technical systems researchers such as Trist and Mumford also used the term occasionally, but seemed not to define it in detail. In contrast, the work system approach defines work system carefully and uses it as a basic analytical concept.
A work system is a system in which human participants and/or machines perform work (processes and activities) using information, technology, and other resources to produce products/services for internal or external customers. Typical business organizations contain work systems that procure materials from suppliers, produce products, deliver products to customers, find customers, create financial reports, hire employees, coordinate work across departments, and perform many other functions.
The work system concept is like a common denominator for many of the types of systems that operate within or across organizations. Operational information systems, service systems, projects, supply chains, and ecommerce web sites can all be viewed as special cases of work systems.
The relationship between work systems in general and the special cases implies that the same basic concepts apply to all of the special cases, which also have their own specialized vocabulary. In turn, this implies that much of the body of knowledge for the current information systems discipline can be organized around a work system core.
Specific information systems exist to support (other) work systems. Many different degrees of overlap are possible between an information system and a work system that it supports. For example, an information system might provide information for a non-overlapping work system, as happens when a commercial marketing survey provides information to a firm's marketing managers In other cases, an information system may be an integral part of a work system, as happens in highly automated manufacturing and in ecommerce web sites. In these situations, participants in the work system are also participants in the information system, the work system cannot operate properly without the information system, and the information system has little significance outside of the work system.
The work system approach for understanding systems includes both a static view of a current (or proposed) system in operation and a dynamic view of how a system evolves over time through planned change and unplanned adaptations. The static view is summarized by the work system framework, which identifies the basic elements for understanding and evaluating a work system. An easily recognized triangular representation of the work system framework has appeared in Alter (2002, 2003, 2008, 2013) and elsewhere. The work system itself consists of four elements: the processes and activities, participants, information, and technologies. Five other elements must be included in even a rudimentary understanding of a work system's operation, context, and significance. Those elements are the products/services produced, customers, environment, infrastructure, and strategies. Customers may also be participants in a work system, as happens when a doctor examines a patient. This framework is prescriptive enough to be useful in describing the system being studied, identifying problems and opportunities, describing possible changes, and tracing how those changes might affect other parts of the work system.
Participants are people who perform the work. Some may use computers and IT extensively, whereas others may use little or no technology. When analyzing a work system the more encompassing role of work system participant is more important than the more limited role of technology user (whether or not particular participants happen to be technology users). In work systems that are viewed as service systems, it is especially important to identify activities in which customers are participants.
Information includes codified and non-codified information used and created as participants perform their work. Information may or may not be computerized. Data not related to the work system is not directly relevant, making the distinction between data and information secondary when describing or analyzing a work system. Knowledge can be viewed as a special case of information.
Technologies include tools (such as cell phones, projectors, spreadsheet software, and automobiles) and techniques (such as management by objectives, optimization, and remote tracking) that work system participants use while doing their work.
Customers are people who receive direct benefit from products/services the work system produces. Since work systems exist to produce products/services for their customers, an analysis of a work system should consider who the customers are, what they want, and how they use whatever the work system produces. Customers may include external customers who receive an enterprise's products/services and internal customers who are employed by the enterprise, such as customers of a payroll work system. Customers of a work system often are participants in the work system (e.g., patients in a medical exam, students in an educational setting, and clients in a consulting engagement).
Environment includes the organizational, cultural, competitive, technical, and regulatory environment within which the work system operates. These factors affect system performance even though the system does not rely on them directly in order to operate. The organization's general norms of behavior are part of its culture, whereas more specific behavioral norms and expectations about specific activities within the work system are considered part of its processes and activities.
Infrastructure includes human, informational, and technical resources that the work system relies on even though these resources exist and are managed outside of it and are shared with other work systems. Technical infrastructure includes computer networks, programming languages, and other technologies shared by other work systems and often hidden or invisible to work system participants. From an organizational viewpoint such as that expressed in Star and Bowker (2002) rather than a purely technical viewpoint, infrastructure includes human infrastructure, informational infrastructure, and technical infrastructure, all of which can be essential to a work system's operation and therefore should be considered in any analysis of a work system.
Strategies include the strategies of the work system and of the department(s) and enterprise(s) within which the work system exists. Strategies at the department and enterprise level may help in explaining why the work system operates as it does and whether it is operating properly.
The dynamic view of a work system starts with the work system life cycle (WSLC) model, which shows how a work system may evolve through multiple iterations of four phases: operation and maintenance, initiation, development, and implementation. The names of the phases were chosen to describe both computerized and non-computerized systems, and to apply regardless of whether application software is acquired, built from scratch, or not used at all. The terms development and implementation have business-oriented meanings that are consistent with Markus and Mao's (2004) distinction between system development and system implementation.
As an example of the iterative nature of a work system's life cycle, consider the sales system in a software start-up. The first sales system is the CEO selling directly. At some point the CEO can't do it alone, several salespeople are hired and trained, and marketing materials are produced that can be used by someone less expert than the CEO. As the firm grows, the sales system becomes regionalized and an initial version of sales tracking software is developed and used. Later, the firm changes its sales system again to accommodate needs to track and control a larger salesforce and predict sales several quarters in advance. A subsequent iteration might involve the acquisition and configuration of CRM software. The first version of the work system starts with an initiation phase. Each subsequent iteration involves deciding that the current sales system is insufficient; initiating a project that may or may not involve significant changes in software; developing the resources such as procedures, training materials, and software that are needed to support the new version of the work system; and finally, implementing the new work system.
The pictorial representation of the work system life cycle model places the four phases at the vertices of rectangle. Forward and backward arrows between each successive pair of phases indicate the planned sequence of the phases and allow the possibility of returning to a previous phase if necessary. To encompass both planned and unplanned change, each phase has an inward facing arrow to denote unanticipated opportunities and unanticipated adaptations, thereby recognizing the importance of diffusion of innovation, experimentation, adaptation, emergent change, and path dependence.
The work system life cycle model is iterative and includes both planned and unplanned change. It is fundamentally different from the frequently cited Systems Development Life Cycle (SDLC), which actually describes projects that attempt to produce software or produce changes in a work system. Current versions of the SDLC may contain iterations but they are basically iterations within a project. More important, the system in the SDLC is a basically a technical artifact that is being programmed. In contrast, the system in the WSLC is a work system that evolves over time through multiple iterations. That evolution occurs through a combination of defined projects and incremental changes resulting from small adaptations and experimentation. In contrast with control-oriented versions of the SDLC, the WSLC treats unplanned changes as part of a work system's natural evolution. 59ce067264