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This paper aims to present a summary of the performance measurement and evaluation plan of the Wyoming connected vehicle (CV) Pilot Deployment Program (WYDOT Pilot).

This paper identified 21 specific performance measures as well as approaches to measure the benefits of the WYDOT Pilot. An overview of the expected challenges that might introduce confounding factors to the evaluation effort was outlined in the performance management plan to guide the collection of system performance data.

This paper presented the data collection approaches and analytical methods that have been established for the real-life deployment of the WYDOT CV applications. Five methodologies for assessing 21 specific performance measures contained within eight performance categories for the operational and safety-related aspects. Analyses were conducted on data collected during the baseline period, and pre-deployment conditions were established for 1 performance measures. Additionally, microsimulation modeling was recommended to aid in evaluating the mobility and safety benefits of the WYDOT CV system, particularly when evaluating system performance under various CV penetration rates and/or CV strategies.

The proposed performance evaluation framework can guide other researchers and practitioners identifying the best performance measures and evaluation methodologies when conducting similar research activities.

To the best of the authors’ knowledge, this is the first research that develops performance measures and evaluation plan for low-volume rural freeway CV system under adverse weather conditions. This paper raised some early insights into how CV technology might achieve the goal of improving safety and mobility and has the potential to guide similar research activities conducted by other agencies.

The purpose of this paper is to identify dimensions that can influence the innovation process in justice organizations.

This study uses a qualitative approach. Data were collected through a semi-structured interview script. In all, 23 in-depth interviews were undertaken with lawyers, public defenders, judges, prosecutors and public officials from the five regions of Brazil. These data were analyzed using content analysis techniques.

The perceptions of the interviewees show that the process of innovation in justice organizations can be influenced by five dimensions: Institutional Environment (institutional level), Leadership (organizational level), Organizational Resources (organizational level), Cooperative Relations (interorganizational level) and Innovative Behavior (individual level). These dimensions may promote or restrict innovation.

The results indicate that there are growing efforts to introduce innovations designed to improve the performance and service delivery of justice organizations. However, there is resistance to innovation because these organizations are highly institutionalized and consequently seek stability and absence of change.

Basic safety message (BSM) is a core subset of standard protocols for connected vehicle system to transmit related safety information via vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I). Although some safety prototypes of connected vehicle have been proposed with effective strategies, few of them are fully evaluated in terms of the significance of BSM messages on performance of safety applications when in emergency.

To address this problem, a data fusion method is proposed to capture the vehicle crash risk by extracting critical information from raw BSMs data, such as driver volition, vehicle speed, hard accelerations and braking. Thereafter, a classification model based on information-entropy and variable precision rough set (VPRS) is used for assessing the instantaneous driving safety by fusing the BSMs data from field test, and predicting the vehicle crash risk level with the driver emergency maneuvers in the next short term.

The findings and implications are discussed for developing an improved warning and driving assistant system by using BSMs messages.

The findings of this study are relevant to incorporation of alerts, warnings and control assists in V2V applications of connected vehicles. Such applications can help drivers identify situations where surrounding drivers are volatile, and they may avoid dangers by taking defensive actions.

Companies are increasingly benefiting from artificial intelligence (AI) applications in various domains, but also facing its negative impacts. The challenge lies in the lack of clear governance mechanisms for AI. While documentation is a key governance tool, standard software engineering practices are inadequate for AI. Practitioners are unsure about how to document AI, raising questions about the effectiveness of current documentation guidelines. This review examines whether AI documentation guidelines meet regulatory and industry needs for AI applications and suggests directions for future research.

A structured literature review was conducted. In total, 38 papers from top journals and conferences in the fields of medicine and information systems as well as journals focused on fair, accountable and transparent AI were reviewed.

This literature review contributes to the literature by investigating the extent to which current documentation guidelines can meet the documentation requirements for AI applications from regulatory bodies and industry practitioners and by presenting avenues for future research. This paper finds contemporary documentation guidelines inadequate in meeting regulators’ and professionals’' expectations. This paper concludes with three recommended avenues for future research.

This paper benefits from the insights from comprehensive and up-to-date sources on the documentation of AI applications.

Several studies reported high rates of psychiatric commorbidity among methadone patients. We examined the relationships of measures of psychopathology to outcomes of screening urine tests for cocaine, opiates, and benzodiazepines in a sample of 56 methadone patients. They also completed the Symptom Check List-90-Revised (SCL-90-R). The highest scales in the SCL-90-R profile of our patients were those indicating somatic discomfort, anger, phobic anxiety, paranoid ideation, and also obsessive-compulsive disorder symptoms (scores above the 39th per centile). The only significant correlations between urine tests and SCL-90-R psychopathology were those involving benzodiazepines: patients with urine tests positive for benzodiazepines had lower social self-confidence (r=0.48), were more obsessive-compulsive (r=0.44), reported a higher level of anger (r=0.41), of phobic tendencies (r=40), of anxiety (r=0.39), and of paranoid tendencies (r=0.38), and also reported more frequent psychotic symptoms (r=0.43).

This paper comprehensively addresses the influence of chopped strand mat glass fiber-reinforced polymer (GFRP) patch configurations such as geometry, dimensions, position and the number of layers of patches, whether a single or double patch is used and how well debonding the area under the patch improves the strength of the cracked aluminum plates with different crack lengths.

Single-edge cracked aluminum specimens of 150 mm in length and 50 mm in width were tested using the tensile test. The cracked aluminum specimens were then repaired using GFRP patches with various configurations. A three-dimensional (3D) finite element method (FEM) was adopted to simulate the repaired cracked aluminum plates using composite patches to obtain the stress intensity factor (SIF). The numerical modeling and validation of ABAQUS software and the contour integral method for SIF calculations provide a valuable tool for further investigation and design optimization.

The width of the GFRP patches affected the efficiency of the rehabilitated cracked aluminum plate. Increasing patch width WP from 5 mm to 15 mm increases the peak load by 9.7 and 17.5%, respectively, if compared with the specimen without the patch. The efficiency of the GFRP patch in reducing the SIF increased as the number of layers increased, i.e. the maximum load was enhanced by 5%.

This study assessed repairing metallic structures using the chopped strand mat GFRP. Furthermore, it demonstrated the superiority of rectangular patches over semicircular ones, along with the benefit of using double patches for out-of-plane bending prevention and it emphasizes the detrimental effect of defects in the bonding area between the patch and the cracked component. This underlines the importance of proper surface preparation and bonding techniques for successful repair.

It is observed that bank transactions are at the top of the list as consumers' online transactions increase day by day. We assume that creating an emotion-rich experience will be more effective in ensuring brand awareness, brand associations, perceived quality and brand loyalty, which affect the creation of consumer-based brand value. In this study, it is aimed to determine the relationship of the emotional brand experiences of internet banking users in the brands they use on creating consumer-based brand equity.

The data in the answers of 484 participants among the 504 people who filled out the questionnaire on social media with the snowball sampling method and were determined to have consistent answers and stating that they used internet banking, were analyzed by SPSS and Structural Equation Modeling (SEM).

The emotional experiences of internet banking users in Turkey with the internet brand they use have a relationship on all four dimensions (brand awareness, brand loyalty, brand associations and perceived quality) that make up consumer-based brand equity. In this study, the relationship was determined as brand awareness, brand loyalty, perceived quality and brand associations, respectively. The dimensions of the relationship of internet banking users emotional brand experience and consumer-based brand equity were supported.

The research was carried out with internet banking users in Turkey. The results of this research can be compared with studies to be conducted in different countries and with different product brands. In addition, the level of contribution can be increased by investigating the emotional brand experience by comparing positive and negative emotions.

As online connection allowing instant access to unrecognized places and being able to reach brands from long distances instantly makes the emotional experience that can create emotional attachment between the brand and the customer, and brand awareness, brand loyalty, brand association and perceived quality, which are the dimensions of consumer-based brand equity affected by emotional experience, much more important. This importance is increasing day by day as the positive emotional experience to be created in banking services is directly related to access to money. Banking transactions are generally considered as cognitive transactions, and decisions are made and implemented within a cognitive context. However, the findings of this research suggest that decisions should be made and implemented that will enable consumers to gain experiences that can affect their emotions as well as their cognition.

Considering the importance of strategies and tactics that prioritize the creation of consumer-based brand equity in marketing theory, the importance of adding emotional brand experience to these strategies and tactics is supported by the results of this research as originality value. Although the effect of brand experience on consumer-based brand value has been widely researched in the literature, the fact that the effect of brand experience, especially emotional brand experience, on consumer-based brand experience in internet banking transactions has not been sufficiently researched and that this effect has been investigated specifically for Turkey, unlike the literature, increases the original contribution of the research.

The paper analyzes the effect of country of origin (COO) image, word-of-mouth (WOM) and brand distinctiveness toward overall brand equity (OBE) and its dimensions (brand awareness/associations; perceived quality; brand loyalty) in the brewing sector.

A quantitative research has been conducted by adopting the survey technique and structural equation modeling based on a sample of 401 Italian beer consumers.

Results corroborate a positive effect of (1) COO image and brand distinctiveness on brand awareness/associations, perceived quality and brand loyalty; (2) WOM on perceived quality and brand loyalty; (3) brand awareness/associations and brand loyalty on OBE. Findings also verify the mediating effects of the OBE dimensions on the relationships between the analyzed antecedents (COO image, WOM and brand distinctiveness) and OBE.

Although the selection of a sample composed of Italian students guarantees good research internal validity, findings are not generalizable.

The study offers valuable strategies for brewing firms to reach high levels of brand equity. In particular, it identifies the key role of COO image, WOM, brand distinctiveness and OBE dimensions in realizing careful brand management processes.

The paper focuses on analyzing the influence of COO image on brand equity in the brewing industry, thus enriching an area of investigation that requires further insights within an under-investigated sector.

This paper aims to study the extent of use of artificial intelligence (AI) in the modern organization; to comprehend the changing nature of future jobs in the context of application of AI; and to study the impact of AI on the economy of the country with special reference to the job market. Given the critical scenario of labor intensive Indian economy, the paper intends to show how AI shall affect rather coexist with human intelligence or labor.

The research on implementation of AI in different industries and its effect on job market are at a nascent stage. There is a dearth of literature. Hence, this study followed a qualitative approach to have a better understanding of the research questions as Bhattacherjee (2012) confirms that employing an interpretive paradigm (qualitative analysis as the analysis of data, e.g. data from interview transcripts) is the more productive way to study social order and that it is achieved through “subjective interpretation of participants involved, such as by interviewing different participants and reconciling differences among their responses using their own subjective perspectives”. Sample selection: The selection technique utilized is purposive sampling. The respondents in this research are the general managers and HRs from different companies. A total of 14 senior professionals from various sectors were approached for the interview out of which seven people gave their consent to take interview. Seven senior HR professionals, mainly general managers and HRs from various sectors viz. oil and gas sector, manufacturing, healthcare, construction, media, power and energy and retail were interviewed to understand how they are using AI in their respective fields. Inclusion Criteria: (1) Generally, the people covered under the research are from the decision-making level of their companies so they are in a position to give strategic perspective as well as day to day implication of implementation of AI. (2) Respondents have adequate knowledge of the respective industry to which they belong. (3) Respondents have reasonable industry of dealing with Human Resource Management and national economy as a whole assessment tool and its administration procedures. A narrative approach was adopted to have a better understanding of the research questions and comprehend their views regarding implementation of AI in their respective companies. A semi structured open ended interview was administered to steer the discussion around the research questions. The respondents were interviewed over the phone and each respondent shared their stories. Analysis of data: The narrations were then transcribed by online transcriber website otter.ai.com. The common keywords as prescribed by the website are as: AI, strategy, learning and implementation. The extracts of the discussions are noted in the next segment of the paper. As and when required this research also used secondary data from the journals, literature available in the websites to understand the implementation of AI globally.

A country where the government itself admits 90% of its workforce belongs to informal sector and conspicuously exits a multi-faceted stark digital divide (Huberman, 2001; DiMaggio et al., 2001; Guillen, 2006; Servon, 2002) wherein gap of digital divide is significant between the rural and urban India (Dasgupta et al., 2002; Nath, 2001; Singh, 2007; Mahajan, 2003; Dutta, 2003) talking of educating, applying and implementing AI seems to be “ a distant dream” but an “ambiguous ambition ”

Prior to implementation of AI that India has to ensure, the basic hygiene factors of informal sector labor force like social security, 2008, low wages and lack of legal protection, unpaid overtime and occupational health problems, poor bargaining power, working without leave under coercion, child care issues and health ailments(for which mere legislation or statutarization is just a formality executed than taking real action) to take the majority of Indian workforce to attain the motivational factor to acquire the knowledge and skill of AI and to implement it.

The AI and its adoption are still at their embryonic stage in Indian companies. With the adoption of such sophisticated technology, in one side, the organizations are dreaming of efficiency, higher productivity and better organizational performance whereas on the other side requirement of changing skill sets and decreasing manpower, creating fear among the mass, which results in hard resistance against the implementation process of AI. On the other hand, lack of expertise and high cost of adoption is also hindering AI to implement in the organizations. The adoption and implementation stage of AI vary from organization to organizations, as well as functions to functions. While the marketing departments of several organizations are using advanced level of AI, there, the HR departments are using AI at the very initial stage. But it is evident from the above discussions that adoption of AI in business functions is inevitable and only it is a matter of time. With the COVID-19 pandemic this has become the utmost necessity for many organizations, particularly who works across the globe. HR partners of the businesses are also adopting AI at a fast pace to do away with the mundane works and deliver efficient services to the stakeholders. It is understood from the discourse that the prerequisite for a successful implementation of AI across the industries throughout the country, needs a concerted effort from industries, academia and government.

The answer lies in Keynesian economics. The central tenet of which is government intervention rather investment to stabilize and progress the economy by way of spreading Internet connectivity, basic literacy and computer literacy, then only truly AI can be effective in a greater scale.

A study on application of artificial intelligence in the pandemic era from a wider perspective, this work is an empirical investigation into the benefits and limitations of artificial intelligence for human potential and labour -intensive pandemic ridden Indian economy.

The aim of the study is to examine the effect of public attitude on petty corruption.

This is a survey study on customers of a licenses providing authority (N = 390) in Cairo, Egypt. The authors use Akers social learning theory of crime and deviance and take into consideration criticisms of it. The authors control for individual and organizational level determinants that are identified by scholars as influencing people's attitudes toward corruption and which could be known through the authority customers' experiences. Because the dependent variable is binary, whether a person paid a bribe during last transaction with this authority or not, the authors use binary logistic regression.

The findings indicate that people are more likely to engage in petty corruption when they see it as acceptable, have previous petty corruption experience and when they use a mediator. Also, of those who dealt with that civil service authority during and directly after the 25th of January Revolution (N = 161) 31% reported that they did not engage in petty corruption in comparison to previous years. They referred this to a change in attitude at the time.

The policy implications of the research are important. Social science theories could generate cultural and policy relevant solutions for petty corruption; however, they have not been taken full advantage of. Also, experience-based country-specific corruption survey studies are important input for an effective anti-corruption policy.