WAREHOUSE MANAGEMENT SYSTEMS: RESOURCE COMMITMENT, CAPABILITIES, AND ORGANIZATIONAL PERFORMANCE

Note: The views squeeze outed in this article are those of the authors and do not necessarily throw back the official policy or position of the United States Air Force, the Department of Defense or the U Government

Every day, logistics managers sift from one side mountains of information, looking to answer questions concerning their operations. For example, where should the greatest in quantity frequently ordered parts be located in the warehouse? by what means should inventory be deployed to optimize sales during a period of forecasted high demand? Or which motor carrier should be chooseed to provide transportation service to a of recent origin and potentially valuable customer? Information that could help managers to find solutions to these questions is repeatedly collected and available, but the sheer convolution of data can be overwhelming. The ability to link information to immediate action is critical. Without reliable information support for logistics, firms could miss the chance to answer to market opportunities, become vulnerable to competitive threats, or labor to simply provide good service.

The ne for data management to support logistics processe has created demand for specialized information a whole s custom-designed for logistics management urgencys (Copacino 1998; Gold et al. 1998; Knill 1998) Many firms are beginning to better understand the ne for logistics information support, and as a flow have begun to invest in technologies that enhance decision-making capabilities for transportation management, warehouse management, and demand forecasting and planning among others (Bowersox, Clos and Stank 1999; Clos and Savitskie 2003) The benefits of these technologies can be significant. The ability to use and leverage information in a timely fashion has been associated with increased internal efficiencies (Bowersox and Daugherty 1995; Clos Goldsby and Clinton 1997) as well as better customer responsiveness (Mentzer Flint, and Hult 2001; Walton and Miller 1995) increased supplier-customer integration (Clos Goldsby and Clinton 1997; Clos and Savitskie 2003) enhanced perceptions of logistics service quality (Mentzer Flint, and Huit 2001) and improved customer satisfaction and performance ratings (Bowersox and Daugherty 1995; Clos and Savitskie 2003; Gustin, Daugherty, and Stank 1995; Rabinovich and at any times 2003). As a result, the adoption and use of technology in support of logistics decision-making is more oft-repeated and more important than at any time before.

Significant research has examined the adoption and implementation of composing technologies used for capturing and communicating logistics-related data, similar as bar-coding, electronic data interchange, (EDI) and, more lately radio frequency identification (RFID). However, despite the interest in information, little research to date has examined systems-level "smart" technologies, i.e., those that proces data into a usable format for decision-making in logistics operations. The greatest in quantity commonly implemented systemic technologies include transportation management a whole s (TMS) and warehouse management combination of parts to form a wholes (WMS). The current research shows an initial endeavor into the evaluation of these "smart" logistics information combination of parts to form a wholes (LIS), by examining WMS applications within a plant of sample companies. This investigation is designed to determine whether investment in operations-oriented WM is likely to follow in desirable outcomes for the warehouse firm or distribution center The article bring to an ends with a summary of the research findings and, based upon these, suggests an agenda for futurity research related to WMS, as well as implications for the overall area of LIS and the integration of the technologies into firm and minister chain environments.

LOGISTICS INFORMATION SYSTEMS

Logistics information combination of parts to form a wholes are defined as the "people equipment, and courses used to gather, sort, analyze, evaluate, and distribute straited timely and accurate information to decision makers" (Murphy and forest-land 2004, p. 66). A variety of LIS has been designed and implemented for different logistics activities and strategic objects Some of the more commonly implemented combination of parts to form a wholes are used to support transportation management, warehouse management, yard management, and operations planning and scheduling. Regardless of their intended function, it is generally believed that these "smart" a whole s aid significantly in decision making related to the planning, assessment, and dominion government of logistics activities (Bowersox and Daugherty 1995; Clos Goldsby and Clinton 1997)

Information and by what means it is managed have been oft-repeated topics of interest to researchers above the past decade. Research has addressed a number of specific topics in the areas of information availability, integrated decision making, and technology adoption (Bardi, Raghunathan, and Bagchi 1994; Bookbinder and Dilts 1989; Clos Goldsby and Clinton 1997; Gustin, Daugherty, and Stank 1995; Rutner Gibson, and Williams 2003; Walton and Miller 1995) However, despite these advances in theoretical exhibition little research has addressed LIS from a holistic combination of parts to form a wholes perspective. Studies to date have accompanyed to focus on information itself, and its consequences rather than the systems that are used to gather, manage, and rule it. Furthermore, implementation and usage have rarely been coupleed to logistics organizations' strategic objectives. Research by the agency of Closs, Goldsby, and Clinton (1997) made an initial assessment of the results of operating and planning a whole s on LIS capabilities and overall logistics competencies. More newly Closs and Savitskie (2003) examined the relationships between logistics information technology integration and customer service performance, suggesting that customer integration mediates the technology - service relationship. There is still a ne for research that establishes linkages between the implementation of logistics technologies, firm capabilities, and performance.