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The aim of this article is to present a PIN (pedestrian inertial navigation) solution that incorporates altitude error correction, which eliminates the altitude error accurately without using external sensors. The main problem of PIN is the accumulation of positioning errors due to the drift caused by the noise in the sensors. Experiment results show that the altitude errors are significant when navigating in multilayer buildings, which always lead to localization to incorrect floors.

The PIN proposed is implemented over an inertial navigation systems (INS) framework and a foot-mounted IMU. The altitude error correction idea is identifying the most probable floor of each horizontal walking motion. To recognize gait types, the walking motion is described with angular rate measured by IMU, and the dynamic time warping algorithm is used to cope with the different dimension samples due to the randomness of walking motion. After gait recognition, the altitude estimated with INS of each horizontal walking is checked for association with one of the existing in a database.

Experiment results show that high accuracy altitude is achieved with altitude errors below 5 centimeters for upstairs and downstairs routes in a five floors building.

The main limitations of the study is the assumption that accuracy floor altitude information is available.

Our PIN system eliminates altitude errors accurately and intelligently, which benefits from the new idea of combination of gait recognition and map-matching. In addition, only one IMU is used which is different from other approach that use external sensors.

The aim of this paper is to propose a new coning correction algorithm, based on the singular perturbation technique, for the attitude update computation with non‐ideal angular rate information.

Unlike conventional coning correction algorithms, the new method uses angular rate two‐time scale model to construct the coning correction term of attitude update. In order to achieve balanced real/pseudo coning correction performance, the selection guidelines of the new algorithm parameters are established.

Performance of the new algorithm is evaluated by comparison with the conventional algorithm in no ideal sensors undergoing stochastic coning environments. The accuracy of attitude update can be improved effectively with reduced computational workload by using this new coning algorithm as compared with conventional ones.

The proposed coning correction algorithm can be implemented with angular rate sensors in UAV (unmanned aerial vehicle) and other aircrafts attitude estimation for navigation and control applications.

Singular perturbation is an effective method for structuring coning correction algorithm with filtered angular rate outputs in stochastic coning environments. The improved coning correction algorithm based on singular perturbations reduces the real and pseudo coning effects effectively as compared with conventional ones. It is proved to be valid for improvement of accuracy with reduced computations of the attitude update.

This study aims to examine the changes in expectations and attitudes toward a brand over time. Furthermore, since consumers are able to change their previous judgments with information provided by a firm or dealer, the study seeks to examine moderator effects of such new information on an expectations‐attitude model.

Using a longitudinal study of automobile consumers, the study demonstrates significant carryover, and moderating effects of information provision on temporal changes in expectations and attitude.

The findings contribute to understanding the time dependency and the dynamic nature of consumer expectations and attitudes. New information provided during direct contact by the marketer updates consumers' (previous) expectations and, consequently, such new information updates consumer attitudes toward the brand.

As consumers' attitudes change over time, marketers should focus on reinforcing attitude toward the product. It would be desirable to design information for consumers to improve a favorable attitude toward the product. In the current example, as sports utility vehicle markets get more competitive, it is critical to create consumer‐focused information.

This study provides two important contributions to the understanding of the time dependency of consumers' expectations, evaluations and attitudes.

The purpose of this paper is to justify the algorithm optimization based on a consideration of its accuracy characteristics in a pure coning motion, which is widely used in optimizing strapdown attitude algorithms to describe the special angular motion of a vehicle.

Two more general angular motions of a vehicle were given: generalized vibration describing periodical motions and benign dynamic describing aperiodical motions. The algorithm performances were evaluated in these two motions.

The theoretical analysis and numerical results show that errors of the algorithm optimized in pure coning motion are null or neglectable in these two motions, and performance of the optimized algorithm in a pure coning motion is superior to that of the non-optimized algorithm.

The value of the paper lies in that the authors justify the concept optimizing strapdown attitude algorithms in a pure coning motion.

The purpose of this paper is to investigate the role of consumers’ expectations and their antecedents on beliefs, attitude and behavioral intentions when they respond to new corporate social responsibility (CSR) information about a service firm.

Empirically, the authors measure prior beliefs, and then calibrate how those beliefs change in response to a piece of news. The authors develop a conceptual model articulating the nature and antecedents of three types of expectations: would, could and should. The authors use structural equation modeling to test how these expectations influence the consumer evaluation process.

The results show that the effect of could expectations on the evaluation process is felt via their influence on would expectations; that is, would expectations fully mediate the relationship between could expectations and attitude toward news. Similarly, attitude toward news fully mediates the relationship between would and should expectations and updated beliefs about the firm.

In the selected service industry, the findings show that expectations are mediated by the new information that consumers receive when they are updating their prior beliefs. The authors demonstrate the ability to understand the antecedents of expectations, which provides a vehicle by which the organization can influence the consumer evaluation process.

In practice, managers can identify the antecedents of consumer expectations and thus influence the reference points against which those consumers will evaluate news about their product.

CSR has important implications for multiple stakeholders and the authors calibrate the determinants of how news about the organization’s performance on it may affect consumer decision processes.

The paper introduces “could” expectations into the services literature, examines the antecedents of the different types of expectations, and studies how their effect is felt through the evaluation process.

This paper aims to explore online customer service dimensions and to examine how attitude toward online customer service influences online purchase intent.

The human factors approach was employed to identify online customer service dimensions by analyzing service provided by salespeople at retail stores. Regression analyses supported the predictive validity of these measures, revealing that customer service dimensions of ease in searching, availability of frequently asked questions (FAQs), availability of in‐stock status information, and ease of comparison shopping were important predictors of online purchase intent.

Results from this study suggest that online retailers need to provide more information (e.g. FAQs) and make browsing easier to help customers have satisfactory shopping experience.

Provides useful information that online retailers can utilize in the development and operation of successful shopping sites.

This study aims to design a new low-cost localization platform for estimating the location and orientation of a pedestrian in a building. The micro-electro-mechanical systems (MEMS) sensor error compensation and the algorithm were improved to realize the localization and altitude accuracy.

The platform hardware was designed with common low-performance and inexpensive MEMS sensors, and with a barometric altimeter employed to augment altitude measurement. The inertial navigation system (INS) – extended Kalman filter (EKF) – zero-velocity updating (ZUPT) (INS-EKF-ZUPT [IEZ])-extended methods and pedestrian dead reckoning (PDR) (IEZ + PDR) algorithm were modified and improved with altitude determined by acceleration integration height and pressure altitude. The “AND” logic with acceleration and angular rate data were presented to update the stance phases.

The new platform was tested in real three-dimensional (3D) in-building scenarios, achieved with position errors below 0.5 m for 50-m-long route in corridor and below 0.1 m on stairs. The algorithm is robust enough for both the walking motion and the fast dynamic motion.

The paper presents a new self-developed, integrated platform. The IEZ-extended methods, the modified PDR (IEZ + PDR) algorithm and “AND” logic with acceleration and angular rate data can improve the high localization and altitude accuracy. It is a great support for the increasing 3D location demand in indoor cases for universal application with ordinary sensors.

This study aims to design an optimized algorithm for low-cost pedestrian navigation system (PNS) to correct the heading drift and altitude error, thus achieving high-precise pedestrian location in both two-dimensional (2-D) and three-dimensional (3-D) space.

A novel heading correction algorithm based on smoothing filter at the terminal of zero velocity interval (ZVI) is proposed in the paper. This algorithm adopts the magnetic sensor to calculate all the heading angles in the ZVI and then applies a smoothing filter to obtain the optimal heading angle. Furthermore, heading correction is executed at the terminal moment of ZVI. Meanwhile, an altitude correction algorithm based on step height constraint is proposed to suppress the altitude channel divergence of strapdown inertial navigation system by using the step height as the measurement of the Kalman filter.

The verification experiments were carried out in 2-D and 3-D space to evaluate the performance of the proposed pedestrian navigation algorithm. The results show that the heading drift and altitude error were well corrected. Meanwhile, the path calculated by the novel algorithm has a higher match degree with the reference trajectory, and the positioning errors of the 2-D and 3-D trajectories are both less than 0.5 per cent.

Besides zero velocity update, another two problems, namely, heading drift and altitude error in the PNS, are solved, which ensures the high positioning precision of pedestrian in indoor and outdoor environments.

This paper aims to investigate how consumers react to corporate managers publicly espousing an ideological belief regarding a social issue. In particular, this paper investigates anger derived by consumers as a mediator explaining why consumer attitudes change.

An experiment was used to present respondents with a scenario about managers espousing specific ideological beliefs. All independent and dependent variables were measured. Variable relationships were analyzed utilizing general linear models to understand direct effects and bootstrapping to understand mediation.

When made public, managers’ stances can make multiple, possibly competing, ideologies salient to consumers. Consumer reaction to a stance is most positive when held ideological beliefs are competing and consumers anchor on one ideology in agreement with the manager’s stance, leading to less anger and enhanced brand attitudes. When competing beliefs exist, consumers minimize the importance of dissonant beliefs. Further, preexisting brand attitudes provide a halo effect which helps to determine the amount of anger derived and any potential shift in brand attitude.

This paper offers insights into when a reparative brand strategy may need to be structured after a manager’s ideological stance is made public. Not all of a company’s targeted demographic will take offense, and any reparative communications may need to focus on the consumer relationship with the brand rather than an outright apology.

This paper adds to the literature investigating the intersection of ideology and marketing. This paper shows that there is an opportunity for managers to strategically shape marketing messages to capitalize on situations where consumers hold multiple, possibly competing ideological beliefs. Thus, this paper highlights that understanding consumers’ brand attitude shifts requires a more encompassing view of ideologies, as opposed to viewing them in isolation.

Human resource records are the cornerstone of human resource management. Organizations rely a great deal on their employees to furnish them with human resource records, which is crucial to the effective management of the employees and the success of the organization. It is evident, however, that personal information-related issues in organizations are of significant concern and that examining employees’ perceptions and attitudes regarding personal information management is extremely valuable. Yet, this is largely absent in the literature. This study, therefore, aims to investigate the influence of perceptions of employees concerning the uses and security of human resource records on their attitude toward human resource records in Ghana.

A descriptive survey design was used in this study. An online questionnaire was used to gather responses from employees for analyses. A structural equation model was developed and assessed because of the advantages that come with its use and the characteristics of this study. The assessment of the structural equation model was done to determine the significance of the hypothesized paths. In addition, effect size, coefficient of determination and predictive relevance of the structural model were assessed. Before that, the validity and reliability of the measurement model were examined through the assessment of the indicator loadings, average variance extracted, Cronbach’s alpha and composite reliability. An importance-performance map analysis (IPMA) was also conducted.

The hypotheses formulated in this study could not be rejected because the hypotheses tested were statistically significant. Thus, this study revealed that employees’ perception of the uses of human resource records influenced their attitude toward human resource records. Also, employees’ perception of the security of human resource records influenced their attitude toward human resource records. The IPMA revealed that the perception of uses of human resource records was more important, yet its performance was below the perception of security as significant.

Human resource records management professionals, particularly in Ghana, ought to ensure that the human resource records in their organizations are used for the purpose for which they are collected and also, secured. In addition, they should assure employees that their personal information is used as expected and secured. This could be realized with the use of international records management standards especially those in the ISO 30300 series. More so, human resource managers as part of their counseling duties also need to counsel employees so that they form positive perceptions about the uses and security of the personal information they give to their organization in the course of their employment.

To the best of the authors’ knowledge, this study brings to light the attitude of employees toward human resource records based on their perceptions of uses and security in the Ghanaian context which is absent in the literature as previous studies have focused mainly on personal information management behavior only at the individual level.