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The public sector use of the internet of Things (IoT) technology is an emerging field with a potential for a variety of institutional applications in the fields of information gathering and policy implementation to establish resilience for modern society. In this context, we aim to investigate the success factors which can positively influence the continuous usage intention of IoT service with the mediation effect of perceived public value.

A conceptual model based on the strong literature and theoretical background is tailored to provide factors for IoT services success in the public sector. A quantitative survey was conducted through 381 citizens using IoT services to validate the proposed conceptual model using structural equation modeling approach in order to examine the influence of identified constructs on the continuous usage intention.

The results highlighted that the proposed model successfully accounted for about 59% perceived variance in public value creation and 63% perceived variance in citizens' continuous usage intention. IoT services success is best dignified by the perceptions of citizens who use the services, therefore, this study identifies the positive role of digital society affinity in context of social sustainability and it climaxes that the real value of IoT in public sector comes from establishment of services on top of the service delivery and that's where the public value is going to be created.

The use of IoT technology in public services will fetch much benefit to the citizens as well as to the government. The study findings are significant in identifying good practices for generating public value in digital society affinity.

The integrated conceptual model explores the driving factors of citizens' inclination towards IoT technology in a social context. Through this study, we can analyze the role of perceived public value in enhancing the citizens' engagement with IoT services. The government policymakers and ICT managers take help from this study to designing IoT public services with making the government more responsive to citizens.

This bibliometric study aims to analyze the latest trends and patterns of big data applications in librarianship from 2000 to 2022. By conducting a comprehensive examination of the existing literature, this study aims to provide valuable insights into the emerging field of big data in librarianship and its potential impact on the future of libraries.

This study employed a rigorous four-stage process of identification, screening, eligibility and inclusion to filter and select the most relevant documents for analysis. The Scopus database was utilized to retrieve pertinent data related to big data applications in librarianship. The dataset comprised 430 documents, including journal articles, conference papers, book chapters, reviews and books. Through bibliometric analysis, the study examined the effectiveness of different publication types and identified the main topics and themes within the field.

The study found that the field of big data in librarianship is growing rapidly, with a significant increase in publications and citations over the past few years. China is the leading country in terms of publication output, followed by the United States of America. The most influential journals in the field are Library Hi Tech and the ACM International Conference Proceeding Series. The top authors in the field are Minami T, Wu J, Fox EA and Giles CL. The most common keywords in the literature are big data, librarianship, data mining, information retrieval, machine learning and webometrics.

This bibliometric study contributes to the existing body of literature by comprehensively analyzing the latest trends and patterns in big data applications within librarianship. It offers a systematic approach to understanding the state of the field and highlights the unique contributions made by various types of publications. The study’s findings and insights contribute to the originality of this research, providing a foundation for further exploration and advancement in the field of big data in librarianship.

This study aims to fulfill the research gap by suggesting an appropriate and adaptable e-government (e-gov) maturity model for Pakistan not just in the abstract pattern relatively but also in a practical solution assured by the industry experts.

The qualitative research approach using key informants from the public sector domain; furthermore, e-gov performance artifacts were verified by the citizens through the process of focus group interviews.

The major finding of the study is the development of e-gov maturity model with implementations artifacts in proposed stages as follows: availability, interaction, integration, transactions and public participation.

This study contributes a qualitative meta-synthesis in the field of e-gov maturity models and could support researchers who are in a quest of knowledge and references to develop new maturity models for their specific countries by providing them with useful resources for further investigation and study.

This maturity model will strengthen the argument that the e-gov services are necessary for the acceptance behaviour of the citizens and the prosperous public administration by the Government in Pakistan. This research strengthens the science-policy interface that has prevented governments from delivering changes on the ground to the public, and it will also identify diversified opportunities for the e-gov sector that can reverse the lack of investment in this domain.

The study intends to provide directions to policymakers for the development of e-gov services for the citizens. Additionally, the public value of e-gov can be better understood in the form of citizens’ expectations from the government and this model will integrate public participation in the development of e-gov service.

The public value of e-gov can be better understood in the form citizens’ expectations from the government through this maturity model, furthermore, it can be recommended that the government can improve the relationship between the citizens and the state through the use of information and communication technologies which will strengthen the democratic process in Pakistan.

The purpose of this paper is to describe the application of design and behavior science collectively in refining the government to citizens’ (G2C) cognitive-communication by using artificial intelligence (AI) artifacts. It investigates the citizens’ behavior intention to use AI cognitive-communication channels in e-government services.

This study reveals the potential of unification in design and behavior science paradigms when integrated into AI artifacts in measuring the constructive outcome of proposed architecture that embraces the perceived risk and trust in citizens’ usage behavior intentions. To evaluate the practical relevance of design science paradigm, action research was incorporated by developing an app as an exemplified scenario.

The weaknesses of traditional G2C channel communication obliterated by AI virtual agents. This study proposes a five-layer architecture model created with citizens-centered design highlighting the improved relevance for G2C cognitive-communication. The behavior model supports citizens’ usage behavior intentions through trust as a positive attribute and negative attribute as a perceived risk.

This study contributes to the knowledge of design science paradigm particularly to AI-based cognitive G2C communication. The architecture serves for deploying virtual agents to automate the public officials for decision-making processes. The authors have constructed a cognitive-communication model and have examined the relationships among the extents of cognitive-communication model. This channel has the potential to significantly transform G2C cognitive and intelligent communication.

This cognitive-communication channel has the potential to significantly transform the communication between government and citizens. Such a model can be an interest of developers, researchers and government policymakers in a holistic approach drawn from theory and methods of both design and behavior science to create a successful communication scenario.

Advances in technology are not without social implications. The study results can dramatically improve the efficiencies of government workplaces and can augment the human working. It will help to reduce the government services discriminations among the citizens and contribute to society through social inclusion.

This study addresses the duality in information system research by first defining the theoretical framework for G2C cognitive-communication architecture and then developing a research model drawn upon a citizens’ service usage behavioral theory. It will also contribute to providing important perceptions of AI practices in the public sector.

The purpose of this study is to provide an optimal joint strategy of multi-period pricing and sales effort for a retailer with a logit choice demand in an integrated channel.

Customer demand is characterized by a logit choice model, it varies over time and is influenced by price and sales effort. The multi-period decision model for the retailer is constructed using a discrete-time dynamic programming method to determine the optimal price and sales effort in each period.

When the inventory level does not exceed a certain threshold, decreasing price and increasing sales effort over time or as inventory level increases are the optimal strategies. However, once the inventory level exceeds the threshold, the optimal strategy is to maintain both price and sales effort constant as the inventory level changes or to increase price and decrease sales effort over time. Additionally, the greater the influence of sales effort on demand or the higher the arrival rate of customers, the higher the optimal price and the greater the optimal sales effort level.

This study contributes to the existing research on dynamic pricing and sales effort in integrated channels by incorporating a logit choice model. Furthermore, it provides valuable management insights for retailers operating in an integrated channel to make pricing and sales effort decisions based on inventory level and time period.

This paper aims to provide details of a study on the widely shared definition of e‐government and to help scholars – especially young scholars – to understand the scope and meaning of the field.

From 1998‐2007, a ten‐year time‐span, 632 articles from the three world‐leading academic databases, including Wiley InterScience, Elsevier ScienceDirect, and SCI Expanded, were retrieved and 324 were analyzed using CATA software (Concordance 3.20), to identify the vocabulary that was used frequently by e‐government scholars. Then the distinct vocabulary was used to construct the widely shared definition of e‐government.

In those 324 articles, 57 words generated from the text analysis formed the basis for imputing a widely shared definition of the field of e‐government. The definition was conceptualized by six elements.

Two limitations of the pool of articles selected may be noted. First, articles were drawn from three leading academic databases in an effort to distinguish e‐government from other fields; but such an approach omitted any consideration of how e‐government definitions varied from different academic fields. Second, because the pool of articles was drawn only from these three, journals excluded by these databases were thus omitted.

The study is unique in that it discusses the definition of e‐government by an exploratory approach. The universal shared definition extracted could serve as either a screen or a magnet for future research. And the methodology could be applied to several academic fields, including administration and management, library and information science, e‐records management, computer science, etc.

The purpose of this study is to reveal the effect of nano-Al₂O₃ particle addition on the nucleation/growth kinetics, microhardness, wear resistance and corrosion resistance of Co–P–xAl₂O₃ nanocomposite plating.

The kinetics and properties of Co–P–xAl₂O₃ nanocomposite plating prepared by electroplating were investigated by electrochemical measurements, scanning electron microscopy, X-ray diffraction, X-ray photoelectron spectroscopy, Vickers microhardness measurement, SRV5 friction and wear tester and atomic force microscopy.

A 12 g/L nano-Al₂O₃ addition in the plating solution can transform the nucleation/growth kinetics of the plating from the 3D progressive model to the 3D instantaneous model. The microhardness of the plating increased with the increase of nano-Al₂O₃ content in plating. The wear resistance of the plating did not adhere strictly to Archard’s law. An even and denser corrosion product film was generated due to the finer grains, with a high corrosion resistance.

The effect of different nano-Al₂O₃ addition on the nucleation/growth kinetics and properties of Co–P–xAl₂O₃ nanocomposite plating was investigated, and an anticorrosion mechanism of Co–P–xAl₂O₃ nanocomposite plating was proposed.

Why do K-12 schools not perform better in educating English Language Learners (ELLs)? Part of the problem lies with higher education: We continue to produce pre-service teachers who are not prepared for today’s multilingual student population and, more importantly, most currently practicing teachers lack any such preparation.

The purpose of this paper deals with a capacitated multi-item dynamic lot-sizing problem with the simultaneous sequence-dependent setup scheduling of the parallel resource under complex uncertainty.

An improved chance-constrained method is developed, in which confidence level of uncertain parameters is used to process uncertainty, and based on this, the reliability of the constraints is measured. Then, this study proposes a robust reconstruction method to transform the chance-constrained model into a deterministic model that is easy to solve, in which the robust transformation methods are used to deal with constraints with uncertainty on the right/left. Then, experimental studies using a real-world production data set provided by a gearbox synchronizer factory of an automobile supplier is carried out.

This study has demonstrated the merits of the proposed approach where the inventory of products tends to increase with the increase of confidence level. Due to a larger confidence level may result in a more strict constraint, which means that the decision-maker becomes more conservative, and thus tends to satisfy more external demands at the cost of an increase of production and stocks.

Joint decisions of production lot-sizing and scheduling widely applied in industries can effectively avert the infeasibility of lot-size decisions, caused by capacity of lot-sing alone decision and complex uncertainty such as product demand and production cost. is also challenging.

This study provides more choices for the decision-makers and can also help production planners find bottleneck resources in the production system, thus developing a more feasible and reasonable production plan in a complex uncertain environment.

Drawing on theories of social information processing and social identity, the authors explore how abusive supervision climate affects team creativity in a Chinese cultural context. The authors propose that this relation will be mediated by collective efficacy and group identification and moderated by task interdependence

The study conducted a confirmatory factor analysis and hierarchical regression to analyze the paired data from 67 research and development (R&D) teams involving 378 employees and employers in a Chinese cultural context.

Results demonstrate that abusive supervision climate was negatively related to team creativity, fully mediated by collective efficacy and group identification in a Chinese cultural context. In addition, task interdependence strengthened the positive relation between collective efficacy and team creativity, as well the positive relation between group identification and team creativity.

Although research has explored how abusive supervision climate influences individual creativity, few studies have investigated the relation between abusive supervision climate and team creativity in a Chinese cultural context. This study is one of the first to explore how abusive supervision climate affects team creativity in a Chinese cultural context and examine the moderating role of task interdependence in the relation between abusive supervision climate and team creativity.