The National Archives and Records Administration (NARA) has released their Request for Proposal (RFP) for its Electronic Records Archive project. The eight-year performance-based ERA contract could be worth about $122 million.

Aim/Purpose: The use of digital technology, such as an electronic records management system (ERMS), has prompted widespread changes across organizations. The organization needs to support its operations with an automation system to improve production performance. This study investigates ERMS’s potentiality to enhance organizational performance in the oil and gas industry. Background: Oil and gas organizations generate enormous electronic records that lead to difficulties in managing them without any system or digitalization procedure. The need to use a system to manage big data and records affects information security and creates several problems. This study supports decision-makers in oil and gas organizations to use ERMS to enhance organizational performance. Methodology: We used a quantitative method by integrating the typical partial least squares (SEM-PLS) approach, including measurement items, respondents’ demographics, sampling and collection of data, and data analysis. The SEM-PLS approach uses a measurement and structural model assessment to analyze data. Contribution: This study contributes significantly to theory and practice by providing advancements in identity theory in the context of big data management and electronic records management. This study is a foundation for further research on the role of ERMS in operations performance and Big Data Management (BDM). This research makes a theoretical contribution by studying a theory-driven framework that may serve as an essential lens to evaluate the role of ERMS in performance and increase its potentiality in the future. This research also evaluated the combined impacts of general technology acceptance theory elements and identity theory in the context of ERMS to support data management. Findings: This study provides an empirically tested model that helps organizations to adopt ERMS based on the influence of big data management. The current study’s findings looked at the concerns of oil and gas organizations about integrating new technologies to support organizational performance. The results demonstrated that individual characteristics of users in oil and gas organizations, in conjunction with administrative features, are robust predictors of ERMS. The results show that ERMS potentiality significantly influences the organizational performance of oil and gas organizations. The research results fit the big ideas about how big data management and ERMS affect respondents to adopt new technologies. Recommendations for Practitioners: This study contributes significantly to the theory and practice of ERMS potentiality and BDM by developing and validating a new framework for adopting ERMS to support the performance and production of oil and gas organizations. The current study adds a new framework to identity theory in the context of ERMS and BDM. It increases the perceived benefits of using ERMS in protecting the credibility and authenticity of electronic records in oil and gas organizations. Recommendation for Researchers: This study serves as a foundation for future research into the function and influence of big data management on ERMS that support the organizational performance. Researchers can examine the framework of this study in other nations in the future, and they will be able to analyze this research framework to compare various results in other countries and expand ERMS generalizability and efficacy. Impact on Society: ERMS and its impact on BDM is still a developing field, and readers of this article can assist in gaining a better understanding of the literature’s dissemination of ERMS adoption in the oil and gas industry. This study presents an experimentally validated model of ERMS adoption with the effect of BDM in the oil and gas industry. Future Research: In the future, researchers may be able to examine the impact of BDM and user technology fit as critical factors in adopting ERMS by using different theories or locations. Furthermore, researchers may include the moderating impact of demographical parameters such as age, gender, wealth, and experience into this study model to make it even more robust and comprehensive. In addition, future research may examine the significant direct correlations between human traits, organizational features, and individual perceptions of BDM that are directly related to ERMS potentiality and operational performance in the future.

Leading Provider of Content and Records Management Solutions Extends Product and Service Offering to the US Federal Government in Support of the General Service Administration's Procurement Modernization Effort.

Generating a corrected electronic record of a locate and/or marking operation. The operation comprises locating and/or identifying, using a physical locate mark, presence or absence of an underground facility within a dig area. At least a portion of the dig area may be excavated or disturbed. First information relating to a location of the facility and/or the mark is received. Based at least in part on the first information, the location of the facility and/or the mark is represented to generate an electronic visual representation of the operation. Second information relating to a corrected location of the facility and/or the mark is received. Based at least in part on the second information, the corrected location is represented to generate a corrected electronic visual representation of the operation. Third information relating to the corrected representation of the operation is transmitted and/or stored to generate the corrected electronic record of the operation.

A method is disclosed for assessing an aspect relating to a locate and/or marking operation performed by a locate technician based on an electronic representation of the operation. The operation includes locating and/or identifying, using a physical locate mark, a presence or an absence of an underground facility within a dig area. A portion of the dig area may be excavated or disturbed during excavation activities. The method includes digitally representing, on a display device, the facility and/or the physical locate mark to generate an electronic visual representation of the operation. The method further includes determining a length associated with a portion of the digitally represented facility and/or physical locate mark in the electronic visual representation of the operation. The method further includes, based on the determined length, automatically assessing the aspect relating to the operation.

Generating a digital-media-enhanced electronic record of a locate and/or marking operation performed by a locate technician. The locate and/or marking operation comprises locating and/or identifying, using at least one physical locate mark, a presence or an absence of at least one underground facility within a dig area, wherein at least a portion of the dig area may be excavated or disturbed during excavation activities. A location of the at least one underground facility and/or the at least one physical locate mark is electronically rendered on a display device so as to generate an electronic visual representation of the locate and/or marking operation. At least one digital media file representation of a corresponding digital media file relating to at least one aspect of the locate and/or marking operation or an environment of the dig area is also electronically rendered on the display device, so as to generate a digital-media-annotated representation of the locate and/or marking operation. Information relating to the digital-media-annotated representation of the locate and/or marking operation is electronically transmitted and/or stored so as to generate the digital-media-enhanced electronic record of the locate and/or marking operation.