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Inadequate measurement capability can place a heavy burden of implicit costs on manufacturers – even drive them out of business. It can have serious consequences for stakeholders in industry, commerce or science. High‐technology manufacturing must ensure a high level of precision in measurements, often to as much as a millionth of an inch. In seeking such high levels of precision, measurement laboratories often use traceability as a key precision criterion. Two comprehensive sets of measurements made over time by high‐precision laboratories on gauge blocks are used to explore the scope of traceability in ensuring high‐precision measurements. Significant differences were found between the high‐precision primary laboratories traceable to the National Institute of Standards and Technology in the USA. Explores general implications of such between‐laboratory differences and makes recommendations for secondary laboratories and stakeholders in dimensional metrology seeking to ensure a high level of precision in their measurements.

This paper provides a quantitative review of the literature on the repercussions of idiosyncratic information on firms’ cost of equity (CoE) capital. In total, I review the results of 113 unique studies examining the CoE effects of information Quantity, Precision and Asymmetry. My results suggest that the association between firm-specific information and CoE is subject to moderate effects. First, the link between Quantity and CoE is moderated by disclosure types and country-level factors in that firms in comparatively weakly regulated countries tend to enjoy up to four times greater CoE benefits from more expansive disclosure—depending on the type of disclosure—than firms in strongly regulated markets. Second, a negative relationship between Precision and CoE is only significant in studies using non-accrual quality proxies for Precision and risk factor-based (RFB)/valuation model-based (VMB) proxies for CoE. Third, almost all VMB studies confirm the positive association between Asymmetry and CoE, but there is notable variation in the conclusions reached when ex post CoE measurers are used.

This paper aims to examine the precision loss of ball screw raceway under different operating conditions and geometry parameters.

Based on a new coefficient K’ introduced especially for ball screws to reflect the actual contact condition, the modified Archard theory is applied to ball screws to obtain wear volume of the ball-screw contacts. Thus, the axial precision loss can be defined as the ratio of the wear volume to the contact area. Meanwhile, a novel running bench and a precision-measuring system of ball screws are conducted. Precision variation is obtained and analyzed during the whole life running test, which agrees well with the theoretical values calculated in this paper.

For a given rotational speed, the increasing rate of the precision loss rate is high at low axial load and then becomes small with the increasing axial load, whereas for a given axial load, the precision loss rate is proportional to the rotational speed. Besides, the precision loss rate is reduced with the increasing contact angle between a ball and the screw raceway, and is proportional to the helix angle when the angle changes from 1 to 10 degrees.

The rotational speed used in this experiment is low and the ball screw is of no-load type, although results calculated by the model and Wei’s model seem close when the axial load is high, whether the model built in the paper is applicable to the condition of high rotational speed and preload still needs to be verified in the future work.

This study provides an accurate model to predict the precision loss of the screw raceway and estimate the remaining life of ball screws, which is significant for better performance of ball screws as well as the computer numerical control machine tools.

Previous studies on the wear of ball screws mainly focused on the drag torque analysis and mechanical efficiency estimation, and the experiment to verify their theoretical analysis was almost all limited to the test of drag torque or axial rigidity, which is neither sufficient nor persuasive. However, in this paper, the authors proposed a comprehensive wear prediction model which combines the modified Archard wear theory, Hertz contact theory and kinematic theory of ball screws. To the best of the authors’ knowledge, this kind of study has never been reported in the literature. In addition, for the lack of the test bench and high cost of the experiment, the whole life operation test, which is designed and conducted to confirm the model in this paper, has never been reported in literature either.

The purpose of this study is to assess the retrieval performance of three search engines, i.e. Google, Yahoo and Bing for navigational queries using two important retrieval measures, i.e. precision and relative recall in the field of life science and biomedicine.

Top three search engines namely Google, Yahoo and Bing were selected on the basis of their ranking as per Alexa, an analytical tool that provides ranking of global websites. Furthermore, the scope of study was confined to those search engines having interface in English. Clarivate Analytics' Web of Science was used for the extraction of navigational queries in the field of life science and biomedicine. Navigational queries (classified as one-word, two-word and three-word queries) were extracted from the keywords of the papers representing the top 100 contributing authors in the select field. Keywords were also checked for the duplication. Two important evaluation parameters, i.e. precision and relative recall were used to calculate the performance of search engines on the navigational queries.

The mean precision for Google scores high (2.30) followed by Yahoo (2.29) and Bing (1.68), while mean relative recall also scores high for Google (0.36) followed by Yahoo (0.33) and Bing (0.31) respectively.

The study is of great help to the researchers and academia in determining the retrieval efficiency of Google, Yahoo and Bing in terms of navigational query execution in the field of life science and biomedicine. The study can help users to focus on various search processes and the query structuring and its execution across the select search engines for achieving desired result list in a professional search environment. The study can also act as a ready reference source for exploring navigational queries and how these queries can be managed in the context of information retrieval process. It will also help to showcase the retrieval efficiency of various search engines on the basis of subject diversity (life science and biomedicine) highlighting the same in terms of query intention.

Though many studies have been conducted highlighting the retrieval efficiency of search engines the current work is the first of its kind to study the retrieval effectiveness of Google, Yahoo and Bing on navigational queries in the field of life science and biomedicine. The study will help in understanding various methods and approaches to be adopted by the users for the navigational query execution across a professional search environment, i.e. “life science and biomedicine”

This study tests the effect of accounting standards precision on financial restatements and the influence of accounting standards precision on different types of restatements (including errors and irregularities). What is more, the heterogeneity between accounting standards precision and financial restatements is verified in this paper. In the further analyses, the authors also examine the mediating roles and moderating roles on the correlation between accounting standards precision and financial restatements.

The focus is placed on an unbalanced panel of 18,766 samples over the period of 2007–2017.

The authors find that firms' restatements decrease when standards are more principles-based (low accounting standards precision). Especially, irregularities significantly decrease when firms' standards are more principles-based. What's more, the negative relationship between principles-based standards and restatements is more significant in “big four” accounting firms. Moreover, from the mediating effect results, the authors find that low accounting standards precision decreases a firm's financial reporting complexity and increases equity restriction, which in turn can help decreasing its financial misreporting. From the moderating effect results, the authors find that the higher the TOP1 and the more analysts following the firm, the higher the benefit of accounting standards precision to misstatements.

The results of this study provide a theoretical reference for accounting standard setters and are helpful to inform investors and regulators about the influence of Chinese accounting standards on restatements.

Manufacturing industry worldwide is at a turning point in seeking greater competitiveness. High precision manufacturing offers better quality and reliability for conventional products, but also makes possible entirely new products, especially where mechatronics, miniaturization and high performance are important. Describes the main ultra precision machining processes and illustrates how cutting and grinding have been stretched into the nanotechnology regime, especially for advanced ceramics, glasses and opto‐electronic materials.

The use of visual templates has proven instrumental in supporting group meetings. The purpose of this paper is to explore whether visual templates enable culturally diverse groups to achieve greater task precision in face-to-face meetings.

Building on Adaptive Structuration Theory, it is argued that visual templates provide structuration for face-to-face meetings, even more so when they are embedded in computer-supported collaborative systems. In particular, it is hypothesized that the higher the degree of structuration imposed by visual templates, the higher the degree of task precision will be. It is also hypothesized that this relationship is positively moderated by group cultural diversity: higher cultural diversity will further sustain the positive effects of visual templates that provide higher structuration.

Results of an experiment with 229 managers from 49 countries confirm that facilitating groups with visual templates embedded in a computer-supported collaborative system significantly increases task precision at high levels of cultural diversity.

This study contributes to Positive Organizational Scholarship (POS) by investigating the use of visual templates as a contingency factor that increases performance – specifically task precision – of co-located, culturally diverse groups.

Results indicate that visual templates embedded in a computer-supported collaborative system are an effective method for increasing task precision in face-to-face meetings of culturally diverse groups.

Theories from information systems and visualization are integrated into cross-cultural management with a view to sustaining the effectiveness of culturally diverse groups. The study sample is characterized by highly culturally diverse groups interacting in face-to-face meetings.

The purpose of this paper is to develop a strategic approach with an intelligently integrated management system in advanced manufacturing industry to meet the requirements of high precise measurement tasks and essential measurement know-how within the sophisticated production systems.

The continuous development toward ever-higher precision and closer tolerances in the manufacture of workpieces is in line with the perspective of nanotechnology. To meet the metrological requirements new high precision intelligent measuring instruments have been developed, which are proposed in this paper.

In modern industrial production, need for high precision metrology at micro and nano scale provides high quality requirements as well. Therefore, while providing adequate metrology applications, good management of resources and environmental, energy consequences shall be addressed in an integrated manner with an integrated management system of quality, environment and energy.

Metrology as the measurement science provides the functional methodology for quality control under the defined specifications and standards. New levels of manufacturing precision are the key requirements to enable advanced machining processes that demands improved techniques of metrology.

The practical industrial use is now quite possible, but uncertainty and calibration with respect to certain questions still open. In various technical fields, there are increasingly new applications being mainly mechanical engineering, precision machining, biomedicine and precision engineering are mentioned.

This paper provides measurement results and experimenting a strategic approach to develop a smart integrated system applicable in manufacturing industry using the intelligent networking for the digital factory by first an inter-university network that accesses, cooperates and operates at distance in the laboratory of distant research laboratories that can be applicable to all other industrial organizations.

The purpose of this paper is to highlight the retrieval effectiveness of search engines taking into consideration both precision and relative recall.

The study is based on search engines that are selected on the basis of Alexa (Actionable Analytics for the web) Rank. Alexa listed top 500 sites, namely, search engines, portals, directories, social networking sites, networking tools, etc. But the scope of study is confined to only general search engines on the basis of language which was confined to English. Therefore only two general search engines are selected for the study . Alexa reports Google.com as the most visited website worldwide and Yahoo.com as the fourth most visited website globally. A total of 15 queries were selected randomly from PG students of Department of Library and Information Science during a period of eight days (from May 8 to May 15, 2014) which are classified manually into navigational, informational and transactional queries. However, queries are largely distributed on the two selected search engines to check their retrieval effectiveness as a training data set in order to define some characteristics of each type. Each query was submitted to the selected search engines which retrieved a large number of results but only the first 30 results were evaluated to limit the study in view of the fact that most of the users usually look up under the first hits of a query.

The study estimated the precision and relative recall of Google and Yahoo. Queries using concepts in the field of Library and Information Science were tested and were divided into navigational queries, informational queries and transactional queries. Results of the study showed that the mean precision of Google was high with (1.10) followed by Yahoo with (0.88). While as, mean relative recall of Google was high with (0.68) followed by Yahoo with (0.31), respectively.

The study highlights the retrieval effectiveness of only two search engines.

The research work is authentic and does not contain any plagiarized work.

The purpose of this paper is to examine the impact of management’s choice of forecast precision on the subsequent dispersion and accuracy of analysts’ earnings forecasts.

Using a sample of 3,584 yearly management earnings per share (EPS) forecasts and 10,287 quarterly management EPS forecasts made during the period of 2002-2007 and collected from the First Call database, the authors controlled for factors previously found to impact analysts’ forecast accuracy and dispersion and investigate the link between management forecast precision and attributes of the analysts’ forecasts.

Results provide empirical evidence that managements’ disclosure precision has a statistically significant impact on both the dispersion and the accuracy of subsequent analysts’ forecasts. It was found that the dispersion in analysts’ forecasts is negatively related to the management forecast precision. In other words, a precise management forecast is associated with a smaller dispersion in the subsequent analysts’ forecasts. Evidence consistent with accuracy in subsequent analysts’ forecasts being positively associated with the precision in the management forecast was also found. When the present analysis focuses on range forecasts provided by management, it was found that lower precision (a larger range) is associated with a larger dispersion among analysts and larger forecast errors.

Evidence suggests a consistency in inferences across both annual and quarterly earnings forecasts by management. Accordingly, recent calls to eliminate earnings guidance through short-term quarterly management forecasts may have failed to consider the linkage between the attributes (precision) of those forecasts and the dispersion and accuracy in subsequent analysts’ forecasts.

This study contributes to the literature on both management earnings forecasts and analysts’ earnings forecasts. The results assist in policy deliberations related to calls to eliminate short-term management earnings guidance.