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MAGNESIUM‐LITHIUM binary alloys which contain just enough lithium (about 11 wt.%) to produce a single‐phase, body‐centred cubic structure have shown surprisingly good resistance to corrosion in 3% salt solution. High‐strength alloys having about 9% lithium and various quantities of aluminium, zinc and other elements have a mixed hexagonal‐plus‐body‐centred cubic structure. Such alloys generally have poorer corrosion resistance than the single‐phase binaries. Three of the high‐strength alloys were exposed for 32 months to the sea‐coast atmosphere near Daytona Beach, Florida. For comparison purposes, samples of commercial AZ31A‐H24 alloy were exposed at the same time. All alloys were in the form of 4 × 6 × 0.064 in. panels. The AZ31A sheet had corrosion resistance only slightly superior to that of an alloy containing Mg‐8.7%, Li‐5%, Al‐8%, Zn. The other two alloys, Mg‐8.8%, Li‐7%, Al‐0.05%, Sn‐1%, Mn, and Mg‐8.8%, Li‐7%, Al‐1%, Sn, had much poorer corrosion resistance.

Innovation efforts of small- or medium-sized enterprises (SMEs) in peripheral regions are limited both by innate resource limitations and by location factors such as excessive distance from key markets and higher cost bases for new technology. However, the emergence of the knowledge economy may enable leveraging of knowledge to address such innate limitations. The aim of this study is to twofold. First, the study explores how SMEs in peripheral areas, i.e. challenging regions, seek to implement innovation from a path perspective by examining the contributions from antecedent and mediator variables or constructs, including knowledge-based factors identified in the literature, using a cross-sectional survey of SMEs at firm level. Second, to further examine how these path model constructs and relationships contribute in a causal manner to innovation implementation at an activity level of analysis based on knowledge-based view and dynamic capability theory, using a case study analysis.

A sequential mixed method approach is used. In relation to the first aim a hypothetical path model is tested using structured equation modelling techniques based on a cross-sectional survey of SMEs in peripheral regions (n=604). For the second aim, to further examine how the path model constructs and relationships contribute to innovation implementation in a causal manner at an activity level of analysis, an explanatory case-based approach is used based on dynamic capability theory.

The findings show that at a firm level knowledge factors influence innovation implementation as mediating factors through knowledge acquisition and assimilation which is consistent with potential absorptive capacity, and knowledge sharing linkages. Antecedent factors of lifecycle, leadership, culture and historical propensity to innovation were found to interact with the mediating variables of knowledge acquisition and assimilation, TQM/business improvement and knowledge sharing linkages (external), to produce a range of innovation outputs, including knowledge transformation and sales of new products and services from innovation activities. Based on the case study findings the underlying knowledge-based dynamic capabilities which contribute to the relationships within the path model were identified and further research agendas established.

There is a relative paucity of studies on innovation implementation within SMEs in peripheral regions using a knowledge-based perspective at firm level, as opposed to regional level (e.g. regional innovation studies). In this context unique resource limitations and the contribution of knowledge-based factors need to be addressed. This study seeks to compliment regional level studies by making a contribution at both a cross-sectional SME or firm level and at an activity level of analysis in this area and to identify areas for further research.

This paper aims to determine factors that influence people living with HIV (PLHIV) to engage in internet-based HIV information seeking behaviour in selected Tanzanian public regional hospitals.

The authors conducted a questionnaire-based survey to 221 PLHIV in two regional public hospitals in Mwanza and Dar es Salaam, Tanzania. They assessed the validity and reliability of the measurement model by using exploratory factor analysis and also used hierarchical regressions to examine the research hypotheses by using Statistical Package for Social Science.

The study found that there is low usage of internet (24.3 per cent) to search online HIV information. Factors related to attitude and information source accessibility predicted usage intentions of internet, while facilitating conditions, information source accessibility and usage intention of internet determined actual use of internet among PLHIV. Age moderated the effects of information source quality and social influence on usage intention of internet, and the effects of the information source accessibility and social influence on actual use of internet. The findings imply that younger PLHIV were more likely to use internet to access HIV information than the older respondents due to perceived ease of accessing information and quality of the online content. Further, older PLHIV were more influenced by the views of others when making decisions to use internet.

Health-care providers and libraries need to conduct regular studies on health needs of patients, and promote benefits of accessing online information; website designers need to design user-friendly databases; public libraries need to include a section on health information; hospital and public librarians need to provide catalogues of health information resources on their websites; and health-care providers need to improve technological infrastructure.

This is a comprehensive study that provides empirical findings to better understand the HIV information seeking behaviour from actual internet users, particularly factors that may influence PLHIV to seek online information in Tanzania.

The purpose of the current study is to examine the implications of the implementation of Goods and Service Tax (GST) on the revenue efficiency of the sub-national governments in India. Furthermore, the study aims to compare the revenue efficiency of the Indian states for the pre-GST and post-GST periods in India.

The study has used the annual revenue of value-added tax (VAT)/GST of the Indian states for the period ranging from 2012–2013 to 2020–2021 for the pre- and post-GST periods. The empirical results are based on the panel regression model for examining the implications of GST adoption on the Indian states.

The analysis shows that the implementation of GST in India has negatively impacted the revenue efficiency of the Indian states. Moreover, the results affirm that the contribution of the service sector to the state's Net State Domestic Product (NSDP), credit-deposit ratio (CDR) and outstanding net bank credit (ONBC) ratio of schedule commercial banks (SCBs) positively and states' dependency on central transfers (DCT) negatively impact the tax revenue efforts of the state governments. Furthermore, the GST adoption has a greater impact on the revenue efficiency of the minor states in comparison to major states which may widen the inter-state disparity gap as GST revenue constitutes a major share in the Own Tax Revenue (OTR) of the Indian states in aggregate.

The current study will act as a guide for government, policymakers and for the sitting of the fifteenth finance commission in India for future policy formulation on GST and compensation to the Indian states. Similarly, this study can be used as a base for conducting future studies on the implications of GST at the national, sub-national, and international levels.

Previous studies on the implications of GST are theoretical and conceptual. There is hardly any study at the national or sub-national level that has focused on the implications of GST on the revenue efficiency of the Indian states.

Digital Libraries are complex, and this complexity is a motive to study user success on the behalf of appropriate user success models. These models comprise the factors which play a part between people, technology and organizations. The purpose of this study was to specify and examine an integrated digital library user success (IDLUS) model within the context of digital library settings, Higher Education Commission National Digital Library (HEC-NDL) of Pakistan, by adopting and reusing the existing digital library and Web success models.

Stratified random sampling technique was used to choose the sample from the University of the Punjab, a highly ranked public sector university in Pakistan. Participants were asked to complete an adapted survey questionnaire. A total of 355 completed and usable questionnaires were obtained. Data analyses through confirmatory factor analyses and structural equation modeling produced the results that have supported the proposed IDLUS model. The proposed IDLUS model was tested and supported through model fit statistics in the academic computing environment of the HEC-NDL of Pakistan.

Findings revealed that relationships between the latent variables hypothesized in the model were confirmed.

The study has both theoretical and practical ramifications for academicians and information system designers and developers.

The IDLUS model is recommended first time in the history of librarianship in Pakistan as an overall user success model in the digital library information system computing environment. That made numerous recommendations for future research in the field of information management, particularly for digital library development at national and international levels.

The impact of Goods and Service Tax (GST) on the motor and pump exports in the Coimbatore region is measured in this study using various parameters and scales. The data collected from exporters were used to identify the pros and cons of GST, stating their opinions on variables considered by the researchers through extensive literature on GST and exports.

The data were collected from 220 motors and pump exporters through a field survey from the month of January to September 2021. The impacts have been measured using principal component analysis (PCA) and confirmatory factor analysis (CFA). The factor analyses and CFA will derive the positive and negative impact of GST determined through critical empirical evidence in this study. Also, the problems faced by the exporters allied to GST, which the authors could not include in the questionnaire due to certain reasons, are concisely apportioned and discussed.

The study depicts the major advantages of GST, such as harmonized system, long-run performance, reduction in logistics cost, check-post operation, bonds and ease of doing business. Also, it highlights the disadvantages of GST, such as biases in the indirect tax system, the reimbursement of duty drawback being late or pending and document filing was still a tedious job under the GST regime.

The unavailability of considerable literature on the impact of GST on Indian exports signifies the novelty of this research. So far, this is the first empirical attempt to measure the impact of GST on exports which is a unique and original attempt to highlight the problem that lies under the GST regime and the necessary reforms the tax structure needs in the context of Indian exports.

The main purpose of this paper is to determine the bias-corrected efficiencies and rankings of the selected hotels and restaurants (H&Rs) in India.

The data for the Indian H&R sector are collected from the Prowess database. The bootstrap data envelopment analysis (DEA) based on a constant return to scale (CRS), variable return to scale-input oriented (VRS-IP) and variable return to scale-output oriented (VRS-OP) are applied on H&Rs to obtain the bias-corrected efficiencies.

It is found that relative efficiencies using basic DEA methods of all the 45 H&Rs of India are overestimated. These efficiencies are corrected using bias correction through bootstrap DEA methods. The bounds for the efficiencies of each H&R are computed using all the adopted methods. All H&Rs are ranked using bias-corrected efficiencies, and the linear trend between ranks suggests that the H&Rs are ranked almost similarly by all the adopted methods.

To improve efficiency, Indian H&R companies must rethink their personnel needs by enhancing their workforce management capabilities. The government needs to extend more support to this sector by introducing a liberal legislation framework and supporting infrastructure policies.

There is a paucity of studies on H&Rs in India. The current study focused on measuring bias-corrected efficiencies of the selected H&Rs of India. This study is one of the few initiatives to explore bias-corrected efficiencies extensively using the bootstrap DEA method.

The study aims to empirically test the effects of antecedents on behavioral intentions towards Uber-ridesharing services. The antecedents are perceived value (hedonic, utilitarian, epistemic, and symbolic value), e-Attitude, and technology attachment (smartphone use, Internet use, and e-Involvement). Moreover, the study explores the mediating effect of three-dimensional perceived value (hedonic, utilitarian, and epistemic value) and e-Attitude; and the moderating effect of symbolic value on behavioral intentions towards Uber-ridesharing services.

A mixed survey (75% Google Form, 25% face to face) was conducted in Bangladesh to collect data from customers who had previously participated in Uber-ridesharing services, one of the largest ridesharing platforms in Bangladesh. Subsequently, data were analyzed based on the structural equation modeling technique using SmartPLS 3.3.3.

The study findings revealed that hedonic value, utilitarian value, epistemic value, symbolic value, e-Attitude, smartphone use, internet use, e-Involvement had a direct significant positive impact on behavioral intentions. Also, e-Attitude significantly impacted hedonic, utilitarian, and epistemic value. In addition, Smartphone use, internet use, and e-Involvement significantly influenced e-Attitude. Moreover, the study findings revealed that hedonic, utilitarian, and epistemic value partially mediates between e-Attitude and behavioral intentions; and e-Attitude partially mediates between Smartphone use, Internet use, and e-Involvement and hedonic, utilitarian, and epistemic value and behavioral intentions. Furthermore, the results indicate that epistemic value significantly moderates the relationship between hedonic, utilitarian, and epistemic value and behavioral intentions.

This study uncovers some insightful findings for ridesharing services providers and managers helping to build customers' positive behavioral intentions towards Uber-ridesharing services. In particular, practitioners can improve cost-efficiency, hedonic and symbolic aspects, availability of rides of Uber-ridesharing services. Moreover, the ridesharing services managers should adopt technology-based service opportunities.

The study enriches sharing economy literature, especially ridesharing services, exploring the direct effect of epistemic value, e-Attitude, smartphone use, Internet use, and e-Involvement on behavioral intentions. Moreover, this study presents smartphone use, Internet use, and e-Involvement as new antecedents of e-Attitude and behavioral intentions. Furthermore, the study explores the mediating effect of hedonic, utilitarian, and epistemic value and e-Attitude; and the moderating effect of symbolic value in Uber-ridesharing service perspective.

Digital-only banks are emerging as challenger banks to the traditional-bank business model in South Africa. However, traditional-bank customers could resist the use of digital-only banks, theoretically due to their satisfaction with the status quo. Consequently, inertia arising from bias to traditional banks based on status quo satisfaction could engender their resistance to become customers of digital-only banks. The objective of the study, therefore, is to investigate how traditional-bank customers' inertia influences digital-only bank resistance.

Based on a literature review, digital-only bank adoption barriers and cognitive-based initial distrusting beliefs were identified as mediators of the influence of inertia on digital-only bank resistance. To test the mediation model empirically, data was collected from 610 traditional-bank-only customers.

The five adoption barriers fully mediate the influence of inertia on cognitive-based initial distrusting beliefs. The five barriers in serial with cognitive-based initial distrusting beliefs partially mediate the influence of traditional-bank customers' inertia on digital-only bank resistance. Cognitive-based initial distrusting belief is an essential factor in the mechanism underlying the influence of traditional-bank customers' inertia on digital-only bank resistance.

Digital-only banks are relatively new. Research is therefore lacking in consumer behavior explaining the use of digital-only banks by traditional-bank customers in the South African context. A further novelty of the study is the empirical assessment of mechanisms that explain the influence of inertia on cognitive-based initial distrusting beliefs, and the influence of inertia on resistance behavior.